Pandas Profiling Report

Dataset statistics

Number of variables	28
Number of observations	111
Missing cells	63
Missing cells (%)	2.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	24.4 KiB
Average record size in memory	225.2 B

Variable types

Numeric	9
Categorical	19

Alerts

`airdate` has constant value "2020-12-30"	Constant
`url` has a high cardinality: 111 distinct values	High cardinality
`name` has a high cardinality: 86 distinct values	High cardinality
`_embedded_show_url` has a high cardinality: 70 distinct values	High cardinality
`_embedded_show_name` has a high cardinality: 70 distinct values	High cardinality
`_embedded_show_premiered` has a high cardinality: 52 distinct values	High cardinality
`_embedded_show_officialSite` has a high cardinality: 63 distinct values	High cardinality
`_embedded_show_summary` has a high cardinality: 62 distinct values	High cardinality
`_links_self_href` has a high cardinality: 111 distinct values	High cardinality
`runtime` is highly correlated with `_embedded_show_runtime` and 1 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`season` is highly correlated with `number` and 1 other fields	High correlation
`number` is highly correlated with `season` and 1 other fields	High correlation
`runtime` is highly correlated with `_embedded_show_runtime` and 1 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `season` and 3 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`runtime` is highly correlated with `_embedded_show_runtime` and 1 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`name` is highly correlated with `airdate`	High correlation
`_embedded_show_officialSite` is highly correlated with `_embedded_show_name` and 12 other fields	High correlation
`_embedded_show_ended` is highly correlated with `_embedded_show_name` and 7 other fields	High correlation
`_embedded_show_name` is highly correlated with `_embedded_show_officialSite` and 13 other fields	High correlation
`summary` is highly correlated with `type` and 1 other fields	High correlation
`_embedded_show_summary` is highly correlated with `_embedded_show_officialSite` and 11 other fields	High correlation
`_embedded_show_genres` is highly correlated with `_embedded_show_officialSite` and 9 other fields	High correlation
`type` is highly correlated with `_embedded_show_officialSite` and 7 other fields	High correlation
`_embedded_show_type` is highly correlated with `_embedded_show_officialSite` and 6 other fields	High correlation
`airdate` is highly correlated with `name` and 15 other fields	High correlation
`airtime` is highly correlated with `_embedded_show_officialSite` and 9 other fields	High correlation
`_embedded_show_status` is highly correlated with `_embedded_show_officialSite` and 8 other fields	High correlation
`_embedded_show_premiered` is highly correlated with `_embedded_show_officialSite` and 8 other fields	High correlation
`_embedded_show_url` is highly correlated with `_embedded_show_officialSite` and 13 other fields	High correlation
`_embedded_show_language` is highly correlated with `_embedded_show_officialSite` and 7 other fields	High correlation
`_embedded_show_dvdCountry` is highly correlated with `_embedded_show_officialSite` and 6 other fields	High correlation
`airstamp` is highly correlated with `_embedded_show_officialSite` and 7 other fields	High correlation
`id` is highly correlated with `name` and 17 other fields	High correlation
`name` is highly correlated with `id` and 21 other fields	High correlation
`season` is highly correlated with `name` and 11 other fields	High correlation
`number` is highly correlated with `name` and 9 other fields	High correlation
`type` is highly correlated with `id` and 10 other fields	High correlation
`airtime` is highly correlated with `id` and 14 other fields	High correlation
`airstamp` is highly correlated with `id` and 18 other fields	High correlation
`runtime` is highly correlated with `name` and 14 other fields	High correlation
`summary` is highly correlated with `name` and 4 other fields	High correlation
`_embedded_show_id` is highly correlated with `id` and 16 other fields	High correlation
`_embedded_show_url` is highly correlated with `id` and 22 other fields	High correlation
`_embedded_show_name` is highly correlated with `id` and 22 other fields	High correlation
`_embedded_show_type` is highly correlated with `id` and 20 other fields	High correlation
`_embedded_show_language` is highly correlated with `id` and 17 other fields	High correlation
`_embedded_show_genres` is highly correlated with `id` and 19 other fields	High correlation
`_embedded_show_status` is highly correlated with `id` and 14 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `id` and 17 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `name` and 17 other fields	High correlation
`_embedded_show_premiered` is highly correlated with `id` and 22 other fields	High correlation
`_embedded_show_ended` is highly correlated with `id` and 14 other fields	High correlation
`_embedded_show_officialSite` is highly correlated with `id` and 22 other fields	High correlation
`_embedded_show_weight` is highly correlated with `id` and 18 other fields	High correlation
`_embedded_show_dvdCountry` is highly correlated with `airtime` and 14 other fields	High correlation
`_embedded_show_summary` is highly correlated with `id` and 20 other fields	High correlation
`_embedded_show_updated` is highly correlated with `id` and 17 other fields	High correlation
`number` has 2 (1.8%) missing values	Missing
`runtime` has 8 (7.2%) missing values	Missing
`_embedded_show_runtime` has 48 (43.2%) missing values	Missing
`_embedded_show_averageRuntime` has 5 (4.5%) missing values	Missing
`url` is uniformly distributed	Uniform
`_links_self_href` is uniformly distributed	Uniform
`id` has unique values	Unique
`url` has unique values	Unique
`_links_self_href` has unique values	Unique
`_embedded_show_weight` has 8 (7.2%) zeros	Zeros

Reproduction

Analysis started	2022-05-10 02:23:35.785875
Analysis finished	2022-05-10 02:24:08.540881
Duration	32.76 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

id
Real number (ℝ_≥0)

HIGH CORRELATION
UNIQUE

Distinct	111
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2051417.703

Minimum	1945903
Maximum	2324426
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1016.0 B

Quantile statistics

Minimum	1945903
5-th percentile	1972359
Q1	1985598.5
median	1996398
Q3	2070190.5
95-th percentile	2312219.5
Maximum	2324426
Range	378523
Interquartile range (IQR)	84592

Descriptive statistics

Standard deviation	110853.8644
Coefficient of variation (CV)	0.05403768537
Kurtosis	0.8456988113
Mean	2051417.703
Median Absolute Deviation (MAD)	15989
Skewness	1.520754123
Sum	227707365
Variance	1.228857925 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2179615	1	0.9%
1988075	1	0.9%
1995752	1	0.9%
1995386	1	0.9%
1995747	1	0.9%
1995746	1	0.9%
1995745	1	0.9%
1995744	1	0.9%
1995743	1	0.9%
1995742	1	0.9%
Other values (101)	101	91.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1945903	1	0.9%
1958576	1	0.9%
1958869	1	0.9%
1964497	1	0.9%
1964498	1	0.9%
1970255	1	0.9%
1974463	1	0.9%
1975372	1	0.9%
1976052	1	0.9%
1976053	1	0.9%

Value	Count	Frequency (%)
2324426	1	0.9%
2324425	1	0.9%
2318116	1	0.9%
2312222	1	0.9%
2312221	1	0.9%
2312220	1	0.9%
2312219	1	0.9%
2312218	1	0.9%
2312217	1	0.9%
2304704	1	0.9%

url
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	111
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	1016.0 B

https://www.tvmaze.com/episodes/2179615/kontakty-1x32-kontakty-v-telefone-arsenia-popova-pavel-vola-ekaterina-varnava-ila-sobolev-edgard-zapasnyj	1
https://www.tvmaze.com/episodes/1988075/forever-love-1x24-episode-24	1
https://www.tvmaze.com/episodes/1995752/sanpa-luci-e-tenebre-di-san-patrignano-1x02-crescita	1
https://www.tvmaze.com/episodes/1995386/sanpa-luci-e-tenebre-di-san-patrignano-1x01-nascita	1
https://www.tvmaze.com/episodes/1995747/best-leftovers-ever-1x08-bland-to-flavor-bomb	1
Other values (106)	106

Length

Max length	145
Median length	107
Mean length	83.08108108
Min length	58

Characters and Unicode

Total characters	9222
Distinct characters	40
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	111 ?
Unique (%)	100.0%

Sample

1st row	https://www.tvmaze.com/episodes/2179615/kontakty-1x32-kontakty-v-telefone-arsenia-popova-pavel-vola-ekaterina-varnava-ila-sobolev-edgard-zapasnyj
2nd row	https://www.tvmaze.com/episodes/2001718/zona-komforta-s01-special-zona-komforta-osuitelno-specialnyj-vypusk
3rd row	https://www.tvmaze.com/episodes/1987721/passaziry-1x03-kirill
4th row	https://www.tvmaze.com/episodes/2095630/yi-nian-yong-heng-1x23-episode-23
5th row	https://www.tvmaze.com/episodes/1993659/7-days-of-romance-2x04-episode-4

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/episodes/2179615/kontakty-1x32-kontakty-v-telefone-arsenia-popova-pavel-vola-ekaterina-varnava-ila-sobolev-edgard-zapasnyj	1	0.9%
https://www.tvmaze.com/episodes/1988075/forever-love-1x24-episode-24	1	0.9%
https://www.tvmaze.com/episodes/1995752/sanpa-luci-e-tenebre-di-san-patrignano-1x02-crescita	1	0.9%
https://www.tvmaze.com/episodes/1995386/sanpa-luci-e-tenebre-di-san-patrignano-1x01-nascita	1	0.9%
https://www.tvmaze.com/episodes/1995747/best-leftovers-ever-1x08-bland-to-flavor-bomb	1	0.9%
https://www.tvmaze.com/episodes/1995746/best-leftovers-ever-1x07-fiesta-feast	1	0.9%
https://www.tvmaze.com/episodes/1995745/best-leftovers-ever-1x06-welcome-to-the-neighborhood	1	0.9%
https://www.tvmaze.com/episodes/1995744/best-leftovers-ever-1x05-down-home-to-uptown	1	0.9%
https://www.tvmaze.com/episodes/1995743/best-leftovers-ever-1x04-pot-roast-to-french-toast	1	0.9%
https://www.tvmaze.com/episodes/1995742/best-leftovers-ever-1x03-the-holidays	1	0.9%
Other values (101)	101	91.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/episodes/2179615/kontakty-1x32-kontakty-v-telefone-arsenia-popova-pavel-vola-ekaterina-varnava-ila-sobolev-edgard-zapasnyj	1	0.9%
https://www.tvmaze.com/episodes/2017663/masrah-masr-8x09-a-day-that-passed	1	0.9%
https://www.tvmaze.com/episodes/1987721/passaziry-1x03-kirill	1	0.9%
https://www.tvmaze.com/episodes/2095630/yi-nian-yong-heng-1x23-episode-23	1	0.9%
https://www.tvmaze.com/episodes/1993659/7-days-of-romance-2x04-episode-4	1	0.9%
https://www.tvmaze.com/episodes/2096304/no-turning-back-romance-1x08-8	1	0.9%
https://www.tvmaze.com/episodes/2324425/unique-lady-2x13-episode-13	1	0.9%
https://www.tvmaze.com/episodes/2324426/unique-lady-2x14-episode-14	1	0.9%
https://www.tvmaze.com/episodes/1998603/unique-lady-2-1x13-episode-13	1	0.9%
https://www.tvmaze.com/episodes/1998605/unique-lady-2-1x14-episode-14	1	0.9%
Other values (101)	101	91.0%

Most occurring characters

Value	Count	Frequency (%)
e	795	8.6%
-	746	8.1%
s	579	6.3%
/	555	6.0%
t	553	6.0%
o	519	5.6%
a	382	4.1%
w	365	4.0%
i	360	3.9%
p	341	3.7%
Other values (30)	4027	43.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6307	68.4%
Decimal Number	1281	13.9%
Other Punctuation	888	9.6%
Dash Punctuation	746	8.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	795	12.6%
s	579	9.2%
t	553	8.8%
o	519	8.2%
a	382	6.1%
w	365	5.8%
i	360	5.7%
p	341	5.4%
m	303	4.8%
d	263	4.2%
Other values (16)	1847	29.3%

Decimal Number

Value	Count	Frequency (%)
1	268	20.9%
2	195	15.2%
0	164	12.8%
9	147	11.5%
5	102	8.0%
4	96	7.5%
3	83	6.5%
7	82	6.4%
6	77	6.0%
8	67	5.2%

Other Punctuation

Value	Count	Frequency (%)
/	555	62.5%
.	222	25.0%
:	111	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	746	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6307	68.4%
Common	2915	31.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	795	12.6%
s	579	9.2%
t	553	8.8%
o	519	8.2%
a	382	6.1%
w	365	5.8%
i	360	5.7%
p	341	5.4%
m	303	4.8%
d	263	4.2%
Other values (16)	1847	29.3%

Common

Value	Count	Frequency (%)
-	746	25.6%
/	555	19.0%
1	268	9.2%
.	222	7.6%
2	195	6.7%
0	164	5.6%
9	147	5.0%
:	111	3.8%
5	102	3.5%
4	96	3.3%
Other values (4)	309	10.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9222	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	795	8.6%
-	746	8.1%
s	579	6.3%
/	555	6.0%
t	553	6.0%
o	519	5.6%
a	382	4.1%
w	365	4.0%
i	360	3.9%
p	341	3.7%
Other values (30)	4027	43.7%

name
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	86
Distinct (%)	77.5%
Missing	0
Missing (%)	0.0%
Memory size	1016.0 B

Episode 4	6
Episode 1	5
Episode 6	4
Episode 2	4
Episode 5	3
Other values (81)	89

Length

Max length	96
Median length	79
Mean length	17.65765766
Min length	1

Characters and Unicode

Total characters	1960
Distinct characters	126
Distinct categories	9 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	74 ?
Unique (%)	66.7%

Sample

1st row	КОНТАКТЫ в телефоне Арсения Попова: Павел Воля, Екатерина Варнава, Илья Соболев, Эдгард Запашный
2nd row	Зона Комфорта. Ошуительно Специальный Выпуск
3rd row	Кирилл
4th row	Episode 23
5th row	Episode 4

Common Values

Value	Count	Frequency (%)
Episode 4	6	5.4%
Episode 1	5	4.5%
Episode 6	4	3.6%
Episode 2	4	3.6%
Episode 5	3	2.7%
Episode 13	3	2.7%
Episode 26	2	1.8%
Episode 3	2	1.8%
Episode 25	2	1.8%
Episode 14	2	1.8%
Other values (76)	78	70.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
episode	51	14.3%
1	8	2.2%
the	8	2.2%
to	8	2.2%
2	6	1.7%
4	6	1.7%
	6	1.7%
and	4	1.1%
6	4	1.1%
5	4	1.1%
Other values (218)	251	70.5%

Most occurring characters

Value	Count	Frequency (%)
	245	12.5%
e	147	7.5%
o	115	5.9%
i	96	4.9%
s	94	4.8%
d	80	4.1%
a	72	3.7%
p	65	3.3%
t	55	2.8%
E	54	2.8%
Other values (116)	937	47.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1282	65.4%
Uppercase Letter	258	13.2%
Space Separator	245	12.5%
Decimal Number	131	6.7%
Other Punctuation	32	1.6%
Dash Punctuation	6	0.3%
Math Symbol	2	0.1%
Close Punctuation	2	0.1%
Open Punctuation	2	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	147	11.5%
o	115	9.0%
i	96	7.5%
s	94	7.3%
d	80	6.2%
a	72	5.6%
p	65	5.1%
t	55	4.3%
r	49	3.8%
n	47	3.7%
Other values (51)	462	36.0%

Uppercase Letter

Value	Count	Frequency (%)
E	54	20.9%
F	12	4.7%
D	11	4.3%
H	9	3.5%
T	9	3.5%
A	9	3.5%
О	9	3.5%
B	8	3.1%
К	8	3.1%
В	8	3.1%
Other values (33)	121	46.9%

Decimal Number

Value	Count	Frequency (%)
2	35	26.7%
1	26	19.8%
0	17	13.0%
4	14	10.7%
3	14	10.7%
6	9	6.9%
5	9	6.9%
8	4	3.1%
9	2	1.5%
7	1	0.8%

Other Punctuation

Value	Count	Frequency (%)
,	15	46.9%
:	6	18.8%
.	5	15.6%
?	2	6.2%
!	2	6.2%
&	1	3.1%
/	1	3.1%

Space Separator

Value	Count	Frequency (%)
	245	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	6	100.0%

Math Symbol

Value	Count	Frequency (%)
\|	2	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1203	61.4%
Common	420	21.4%
Cyrillic	337	17.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	147	12.2%
o	115	9.6%
i	96	8.0%
s	94	7.8%
d	80	6.7%
a	72	6.0%
p	65	5.4%
t	55	4.6%
E	54	4.5%
r	49	4.1%
Other values (43)	376	31.3%

Cyrillic

Value	Count	Frequency (%)
а	30	8.9%
и	25	7.4%
е	20	5.9%
л	19	5.6%
о	19	5.6%
н	18	5.3%
р	15	4.5%
т	14	4.2%
в	12	3.6%
с	10	3.0%
Other values (41)	155	46.0%

Common

Value	Count	Frequency (%)
	245	58.3%
2	35	8.3%
1	26	6.2%
0	17	4.0%
,	15	3.6%
4	14	3.3%
3	14	3.3%
6	9	2.1%
5	9	2.1%
-	6	1.4%
Other values (12)	30	7.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1612	82.2%
Cyrillic	337	17.2%
None	11	0.6%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	245	15.2%
e	147	9.1%
o	115	7.1%
i	96	6.0%
s	94	5.8%
d	80	5.0%
a	72	4.5%
p	65	4.0%
t	55	3.4%
E	54	3.3%
Other values (58)	589	36.5%

Cyrillic

Value	Count	Frequency (%)
а	30	8.9%
и	25	7.4%
е	20	5.9%
л	19	5.6%
о	19	5.6%
н	18	5.3%
р	15	4.5%
т	14	4.2%
в	12	3.6%
с	10	3.0%
Other values (41)	155	46.0%

None

Value	Count	Frequency (%)
ų	3	27.3%
å	3	27.3%
æ	1	9.1%
ø	1	9.1%
É	1	9.1%
á	1	9.1%
ž	1	9.1%

season
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	11
Distinct (%)	9.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	93.00900901

Minimum	1
Maximum	2020
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1016.0 B

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	22.5
Maximum	2020
Range	2019
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	420.4278015
Coefficient of variation (CV)	4.520291163
Kurtosis	18.10329264
Mean	93.00900901
Median Absolute Deviation (MAD)	0
Skewness	4.447000831
Sum	10324
Variance	176759.5363
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
1	77	69.4%
2	13	11.7%
2020	5	4.5%
5	4	3.6%
4	4	3.6%
7	2	1.8%
3	2	1.8%
8	1	0.9%
12	1	0.9%
31	1	0.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	77	69.4%
2	13	11.7%
3	2	1.8%
4	4	3.6%
5	4	3.6%
7	2	1.8%
8	1	0.9%
12	1	0.9%
14	1	0.9%
31	1	0.9%

Value	Count	Frequency (%)
2020	5	4.5%
31	1	0.9%
14	1	0.9%
12	1	0.9%
8	1	0.9%
7	2	1.8%
5	4	3.6%
4	4	3.6%
3	2	1.8%
2	13	11.7%

number
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	42
Distinct (%)	38.5%
Missing	2
Missing (%)	1.8%
Infinite	0
Infinite (%)	0.0%
Mean	24.47706422

Minimum	1
Maximum	357
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1016.0 B

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	8
Q3	23
95-th percentile	66.6
Maximum	357
Range	356
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	55.47031177
Coefficient of variation (CV)	2.266215886
Kurtosis	25.70483364
Mean	24.47706422
Median Absolute Deviation (MAD)	6
Skewness	4.941825586
Sum	2668
Variance	3076.955488
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=42)

Value	Count	Frequency (%)
1	12	10.8%
2	9	8.1%
4	9	8.1%
5	8	7.2%
3	7	6.3%
6	7	6.3%
8	5	4.5%
13	5	4.5%
11	3	2.7%
23	3	2.7%
Other values (32)	41	36.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	12	10.8%
2	9	8.1%
3	7	6.3%
4	9	8.1%
5	8	7.2%
6	7	6.3%
7	1	0.9%
8	5	4.5%
9	1	0.9%
10	1	0.9%

Value	Count	Frequency (%)
357	1	0.9%
322	1	0.9%
321	1	0.9%
89	1	0.9%
86	1	0.9%
71	1	0.9%
60	1	0.9%
59	1	0.9%
55	1	0.9%
53	1	0.9%

type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Memory size	1016.0 B

regular	109
insignificant_special	1
significant_special	1

Length

Max length	21
Median length	7
Mean length	7.234234234
Min length	7

Characters and Unicode

Total characters	803
Distinct characters	14
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	1.8%

Sample

1st row	regular
2nd row	insignificant_special
3rd row	regular
4th row	regular
5th row	regular

Common Values

Value	Count	Frequency (%)
regular	109	98.2%
insignificant_special	1	0.9%
significant_special	1	0.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
regular	109	98.2%
insignificant_special	1	0.9%
significant_special	1	0.9%

Most occurring characters

Value	Count	Frequency (%)
r	218	27.1%
a	113	14.1%
e	111	13.8%
g	111	13.8%
l	111	13.8%
u	109	13.6%
i	9	1.1%
n	5	0.6%
s	4	0.5%
c	4	0.5%
Other values (4)	8	1.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	801	99.8%
Connector Punctuation	2	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	218	27.2%
a	113	14.1%
e	111	13.9%
g	111	13.9%
l	111	13.9%
u	109	13.6%
i	9	1.1%
n	5	0.6%
s	4	0.5%
c	4	0.5%
Other values (3)	6	0.7%

Connector Punctuation

Value	Count	Frequency (%)
_	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	801	99.8%
Common	2	0.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	218	27.2%
a	113	14.1%
e	111	13.9%
g	111	13.9%
l	111	13.9%
u	109	13.6%
i	9	1.1%
n	5	0.6%
s	4	0.5%
c	4	0.5%
Other values (3)	6	0.7%

Common

Value	Count	Frequency (%)
_	2	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	803	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	218	27.1%
a	113	14.1%
e	111	13.8%
g	111	13.8%
l	111	13.8%
u	109	13.6%
i	9	1.1%
n	5	0.6%
s	4	0.5%
c	4	0.5%
Other values (4)	8	1.0%

airdate
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	1016.0 B

2020-12-30	111

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	1110
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2020-12-30
2nd row	2020-12-30
3rd row	2020-12-30
4th row	2020-12-30
5th row	2020-12-30

Common Values

Value	Count	Frequency (%)
2020-12-30	111	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2020-12-30	111	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	333	30.0%
0	333	30.0%
-	222	20.0%
1	111	10.0%
3	111	10.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	888	80.0%
Dash Punctuation	222	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	333	37.5%
0	333	37.5%
1	111	12.5%
3	111	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	222	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1110	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	333	30.0%
0	333	30.0%
-	222	20.0%
1	111	10.0%
3	111	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1110	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	333	30.0%
0	333	30.0%
-	222	20.0%
1	111	10.0%
3	111	10.0%

airtime
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	9
Distinct (%)	8.1%
Missing	0
Missing (%)	0.0%
Memory size	1016.0 B

nan	86
20:00	14
12:00	3
18:00	2
00:00	2
Other values (4)	4

Length

Max length	5
Median length	3
Mean length	3.45045045
Min length	3

Characters and Unicode

Total characters	383
Distinct characters	11
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	3.6%

Sample

1st row	12:00
2nd row	nan
3rd row	nan
4th row	10:00
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	86	77.5%
20:00	14	12.6%
12:00	3	2.7%
18:00	2	1.8%
00:00	2	1.8%
10:00	1	0.9%
08:30	1	0.9%
19:00	1	0.9%
21:45	1	0.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
nan	86	77.5%
20:00	14	12.6%
12:00	3	2.7%
18:00	2	1.8%
00:00	2	1.8%
10:00	1	0.9%
08:30	1	0.9%
19:00	1	0.9%
21:45	1	0.9%

Most occurring characters

Value	Count	Frequency (%)
n	172	44.9%
a	86	22.5%
0	67	17.5%
:	25	6.5%
2	18	4.7%
1	8	2.1%
8	3	0.8%
3	1	0.3%
9	1	0.3%
4	1	0.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	258	67.4%
Decimal Number	100	26.1%
Other Punctuation	25	6.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	67	67.0%
2	18	18.0%
1	8	8.0%
8	3	3.0%
3	1	1.0%
9	1	1.0%
4	1	1.0%
5	1	1.0%

Lowercase Letter

Value	Count	Frequency (%)
n	172	66.7%
a	86	33.3%

Other Punctuation

Value	Count	Frequency (%)
:	25	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	258	67.4%
Common	125	32.6%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	67	53.6%
:	25	20.0%
2	18	14.4%
1	8	6.4%
8	3	2.4%
3	1	0.8%
9	1	0.8%
4	1	0.8%
5	1	0.8%

Latin

Value	Count	Frequency (%)
n	172	66.7%
a	86	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	383	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	172	44.9%
a	86	22.5%
0	67	17.5%
:	25	6.5%
2	18	4.7%
1	8	2.1%
8	3	0.8%
3	1	0.3%
9	1	0.3%
4	1	0.3%

airstamp
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	15
Distinct (%)	13.5%
Missing	0
Missing (%)	0.0%
Memory size	1016.0 B

2020-12-30T12:00:00+00:00	70
2020-12-30T04:00:00+00:00	17
2020-12-30T09:00:00+00:00	4
2020-12-30T17:00:00+00:00	4
2020-12-30T00:00:00+00:00	3
Other values (10)	13

Length

Max length	25
Median length	25
Mean length	25
Min length	25

Characters and Unicode

Total characters	2775
Distinct characters	12
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	6.3%

Sample

1st row	2020-12-30T00:00:00+00:00
2nd row	2020-12-30T00:00:00+00:00
3rd row	2020-12-30T00:00:00+00:00
4th row	2020-12-30T02:00:00+00:00
5th row	2020-12-30T03:00:00+00:00

Common Values

Value	Count	Frequency (%)
2020-12-30T12:00:00+00:00	70	63.1%
2020-12-30T04:00:00+00:00	17	15.3%
2020-12-30T09:00:00+00:00	4	3.6%
2020-12-30T17:00:00+00:00	4	3.6%
2020-12-30T00:00:00+00:00	3	2.7%
2020-12-30T03:00:00+00:00	2	1.8%
2020-12-30T11:00:00+00:00	2	1.8%
2020-12-31T01:00:00+00:00	2	1.8%
2020-12-30T02:00:00+00:00	1	0.9%
2020-12-30T10:00:00+00:00	1	0.9%
Other values (5)	5	4.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-30t12:00:00+00:00	70	63.1%
2020-12-30t04:00:00+00:00	17	15.3%
2020-12-30t09:00:00+00:00	4	3.6%
2020-12-30t17:00:00+00:00	4	3.6%
2020-12-30t00:00:00+00:00	3	2.7%
2020-12-30t03:00:00+00:00	2	1.8%
2020-12-30t11:00:00+00:00	2	1.8%
2020-12-31t01:00:00+00:00	2	1.8%
2020-12-30t02:00:00+00:00	1	0.9%
2020-12-30t10:00:00+00:00	1	0.9%
Other values (5)	5	4.5%

Most occurring characters

Value	Count	Frequency (%)
0	1249	45.0%
2	405	14.6%
:	333	12.0%
-	222	8.0%
1	199	7.2%
3	115	4.1%
T	111	4.0%
+	111	4.0%
4	18	0.6%
9	5	0.2%
Other values (2)	7	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1998	72.0%
Other Punctuation	333	12.0%
Dash Punctuation	222	8.0%
Uppercase Letter	111	4.0%
Math Symbol	111	4.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1249	62.5%
2	405	20.3%
1	199	10.0%
3	115	5.8%
4	18	0.9%
9	5	0.3%
7	4	0.2%
5	3	0.2%

Other Punctuation

Value	Count	Frequency (%)
:	333	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	222	100.0%

Uppercase Letter

Value	Count	Frequency (%)
T	111	100.0%

Math Symbol

Value	Count	Frequency (%)
+	111	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2664	96.0%
Latin	111	4.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1249	46.9%
2	405	15.2%
:	333	12.5%
-	222	8.3%
1	199	7.5%
3	115	4.3%
+	111	4.2%
4	18	0.7%
9	5	0.2%
7	4	0.2%

Latin

Value	Count	Frequency (%)
T	111	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2775	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1249	45.0%
2	405	14.6%
:	333	12.0%
-	222	8.0%
1	199	7.2%
3	115	4.1%
T	111	4.0%
+	111	4.0%
4	18	0.6%
9	5	0.2%
Other values (2)	7	0.3%

runtime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	41
Distinct (%)	39.8%
Missing	8
Missing (%)	7.2%
Infinite	0
Infinite (%)	0.0%
Mean	40.09708738

Minimum	4
Maximum	208
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1016.0 B

Quantile statistics

Minimum	4
5-th percentile	12
Q1	24
median	36
Q3	45
95-th percentile	92.7
Maximum	208
Range	204
Interquartile range (IQR)	21

Descriptive statistics

Standard deviation	28.80342932
Coefficient of variation (CV)	0.7183421839
Kurtosis	12.06077032
Mean	40.09708738
Median Absolute Deviation (MAD)	11
Skewness	2.841838941
Sum	4130
Variance	829.6375405
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=41)

Value	Count	Frequency (%)
45	21	18.9%
30	9	8.1%
20	5	4.5%
12	5	4.5%
35	5	4.5%
25	5	4.5%
24	4	3.6%
36	4	3.6%
19	3	2.7%
40	3	2.7%
Other values (31)	39	35.1%
(Missing)	8	7.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	1	0.9%
5	1	0.9%
6	1	0.9%
10	1	0.9%
12	5	4.5%
13	1	0.9%
15	3	2.7%
17	1	0.9%
18	1	0.9%
19	3	2.7%

Value	Count	Frequency (%)
208	1	0.9%
127	1	0.9%
120	3	2.7%
93	1	0.9%
90	1	0.9%
66	1	0.9%
64	1	0.9%
62	1	0.9%
61	1	0.9%
60	2	1.8%

summary
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	41
Distinct (%)	36.9%
Missing	0
Missing (%)	0.0%
Memory size	1016.0 B

nan	71
<p>This week, Ty Franck and Wes Chatham welcome one of the longest standing crew members and one of the newest to The Expanse Aftershow. Watch Jeff Woolnough, director of episode 505, and Jasai Chase Owens, who plays Filip, join the chat to discuss the latest episode of The Expanse Season 5.</p>	1
<p>Game day appetizers morph into meals that score big points with the judges. The contestants must reimagine smoky barbecue takeout as a gourmet feast.</p><p><br /> </p>	1
<p>A festive meal means lots of leftovers. So how about glazed ham, apple pie and green bean casserole… on a sandwich? Later, Greek food gets a new life.</p><p><br /> </p>	1
<p>The cooks serve up a spectacular breakfast using fancy date-night leftovers from the fridge, then wow the judges with fresh takes on Italian takeout.</p><p><br /> </p>	1
Other values (36)	36

Length

Max length	375
Median length	3
Mean length	66.87387387
Min length	3

Characters and Unicode

Total characters	7423
Distinct characters	70
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	40 ?
Unique (%)	36.0%

Sample

1st row	nan
2nd row	<p>A unique release of The Shocking Howe. Actors and writers of the "Comfort Zone" series will tell you how the project was created. Of course, everything is in the style of the Shocking Howe.</p>
3rd row	nan
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	71	64.0%
<p>This week, Ty Franck and Wes Chatham welcome one of the longest standing crew members and one of the newest to The Expanse Aftershow. Watch Jeff Woolnough, director of episode 505, and Jasai Chase Owens, who plays Filip, join the chat to discuss the latest episode of The Expanse Season 5.</p>	1	0.9%
<p>Game day appetizers morph into meals that score big points with the judges. The contestants must reimagine smoky barbecue takeout as a gourmet feast.</p><p><br /> </p>	1	0.9%
<p>A festive meal means lots of leftovers. So how about glazed ham, apple pie and green bean casserole… on a sandwich? Later, Greek food gets a new life.</p><p><br /> </p>	1	0.9%
<p>The cooks serve up a spectacular breakfast using fancy date-night leftovers from the fridge, then wow the judges with fresh takes on Italian takeout.</p><p><br /> </p>	1	0.9%
<p>Bacon-wrapped brats and blueberry cobbler get a second look as late-night snacks, and duck confit and cassoulet evolve into entirely different dishes.</p><p><br /> </p>	1	0.9%
<p>Potluck castoffs return with a vengeance as sinful desserts before the challengers tackle chilled Chinese takeout, including egg rolls and chow mein.</p><p><br /> </p>	1	0.9%
<p>The cooks use food from a children's party to make cocktails and an indulgent brunch. Mexican dishes are remade into gnocchi, dumplings and more.</p><p><br /> </p>	1	0.9%
<p>After creating a "flavor bomb" from notoriously bland foods like rice and toast, the competitors take on a new challenge: transforming Thai takeout.</p>	1	0.9%
<p>Cheap heroin begins to flood Italy. With the government unable to deal with the damage, Vincenzo Muccioli opens a commune to treat addicted youth.</p><p><br /> </p>	1	0.9%
Other values (31)	31	27.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	76	6.2%
nan	71	5.8%
to	38	3.1%
and	32	2.6%
a	31	2.5%
	22	1.8%
p	21	1.7%
of	20	1.6%
in	15	1.2%
with	12	1.0%
Other values (656)	887	72.4%

Most occurring characters

Value	Count	Frequency (%)
	1093	14.7%
e	676	9.1%
a	507	6.8%
n	486	6.5%
t	448	6.0%
o	415	5.6%
s	398	5.4%
i	334	4.5%
r	334	4.5%
h	264	3.6%
Other values (60)	2468	33.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5535	74.6%
Space Separator	1114	15.0%
Math Symbol	286	3.9%
Other Punctuation	240	3.2%
Uppercase Letter	213	2.9%
Decimal Number	20	0.3%
Dash Punctuation	15	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	676	12.2%
a	507	9.2%
n	486	8.8%
t	448	8.1%
o	415	7.5%
s	398	7.2%
i	334	6.0%
r	334	6.0%
h	264	4.8%
p	235	4.2%
Other values (16)	1438	26.0%

Uppercase Letter

Value	Count	Frequency (%)
A	39	18.3%
T	23	10.8%
M	17	8.0%
C	15	7.0%
S	14	6.6%
I	11	5.2%
H	10	4.7%
L	9	4.2%
W	9	4.2%
D	8	3.8%
Other values (13)	58	27.2%

Other Punctuation

Value	Count	Frequency (%)
/	82	34.2%
.	78	32.5%
,	44	18.3%
'	19	7.9%
"	8	3.3%
!	4	1.7%
?	2	0.8%
;	1	0.4%
…	1	0.4%
:	1	0.4%

Decimal Number

Value	Count	Frequency (%)
2	7	35.0%
0	7	35.0%
5	3	15.0%
1	2	10.0%
3	1	5.0%

Space Separator

Value	Count	Frequency (%)
	1093	98.1%
	21	1.9%

Math Symbol

Value	Count	Frequency (%)
<	143	50.0%
>	143	50.0%

Dash Punctuation

Value	Count	Frequency (%)
-	12	80.0%
—	3	20.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5748	77.4%
Common	1675	22.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	676	11.8%
a	507	8.8%
n	486	8.5%
t	448	7.8%
o	415	7.2%
s	398	6.9%
i	334	5.8%
r	334	5.8%
h	264	4.6%
p	235	4.1%
Other values (39)	1651	28.7%

Common

Value	Count	Frequency (%)
	1093	65.3%
<	143	8.5%
>	143	8.5%
/	82	4.9%
.	78	4.7%
,	44	2.6%
	21	1.3%
'	19	1.1%
-	12	0.7%
"	8	0.5%
Other values (11)	32	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7398	99.7%
None	21	0.3%
Punctuation	4	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	1093	14.8%
e	676	9.1%
a	507	6.9%
n	486	6.6%
t	448	6.1%
o	415	5.6%
s	398	5.4%
i	334	4.5%
r	334	4.5%
h	264	3.6%
Other values (57)	2443	33.0%

None

Value	Count	Frequency (%)
	21	100.0%

Punctuation

Value	Count	Frequency (%)
—	3	75.0%
…	1	25.0%

_embedded_show_id
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	70
Distinct (%)	63.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	48392.76577

Minimum	1825
Maximum	61755
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1016.0 B

Quantile statistics

Minimum	1825
5-th percentile	17110.5
Q1	44083
median	52471
Q3	53014.5
95-th percentile	61556
Maximum	61755
Range	59930
Interquartile range (IQR)	8931.5

Descriptive statistics

Standard deviation	12251.35313
Coefficient of variation (CV)	0.2531649708
Kurtosis	5.732458235
Mean	48392.76577
Median Absolute Deviation (MAD)	2841
Skewness	-2.295693991
Sum	5371597
Variance	150095653.5
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
52615	8	7.2%
61556	6	5.4%
42387	6	5.4%
43890	6	5.4%
52708	5	4.5%
52104	3	2.7%
15250	2	1.8%
52524	2	1.8%
47226	2	1.8%
52936	2	1.8%
Other values (60)	69	62.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1825	1	0.9%
2266	1	0.9%
2504	1	0.9%
6441	1	0.9%
15250	2	1.8%
18971	1	0.9%
28346	1	0.9%
30606	1	0.9%
33944	1	0.9%
34060	1	0.9%

Value	Count	Frequency (%)
61755	1	0.9%
61556	6	5.4%
61247	2	1.8%
60508	1	0.9%
60161	1	0.9%
58689	2	1.8%
58645	1	0.9%
58426	1	0.9%
57478	1	0.9%
56783	1	0.9%

_embedded_show_url
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	70
Distinct (%)	63.1%
Missing	0
Missing (%)	0.0%
Memory size	1016.0 B

https://www.tvmaze.com/shows/52615/best-leftovers-ever	8
https://www.tvmaze.com/shows/61556/unsolved-cases-of-kung-fu-portrait-of-beauty	6
https://www.tvmaze.com/shows/42387/transformers-war-for-cybertron-trilogy	6
https://www.tvmaze.com/shows/43890/equinox	6
https://www.tvmaze.com/shows/52708/sanpa-luci-e-tenebre-di-san-patrignano	5
Other values (65)	80

Length

Max length	79
Median length	59
Mean length	54.43243243
Min length	39

Characters and Unicode

Total characters	6042
Distinct characters	40
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	51 ?
Unique (%)	45.9%

Sample

1st row	https://www.tvmaze.com/shows/49630/kontakty
2nd row	https://www.tvmaze.com/shows/51510/zona-komforta
3rd row	https://www.tvmaze.com/shows/52499/passaziry
4th row	https://www.tvmaze.com/shows/49652/yi-nian-yong-heng
5th row	https://www.tvmaze.com/shows/44276/7-days-of-romance

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/52615/best-leftovers-ever	8	7.2%
https://www.tvmaze.com/shows/61556/unsolved-cases-of-kung-fu-portrait-of-beauty	6	5.4%
https://www.tvmaze.com/shows/42387/transformers-war-for-cybertron-trilogy	6	5.4%
https://www.tvmaze.com/shows/43890/equinox	6	5.4%
https://www.tvmaze.com/shows/52708/sanpa-luci-e-tenebre-di-san-patrignano	5	4.5%
https://www.tvmaze.com/shows/52104/twisted-fate-of-love	3	2.7%
https://www.tvmaze.com/shows/15250/the-young-turks	2	1.8%
https://www.tvmaze.com/shows/52524/forever-love	2	1.8%
https://www.tvmaze.com/shows/47226/arashis-diary-voyage	2	1.8%
https://www.tvmaze.com/shows/52936/my-best-friends-story	2	1.8%
Other values (60)	69	62.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/52615/best-leftovers-ever	8	7.2%
https://www.tvmaze.com/shows/42387/transformers-war-for-cybertron-trilogy	6	5.4%
https://www.tvmaze.com/shows/43890/equinox	6	5.4%
https://www.tvmaze.com/shows/61556/unsolved-cases-of-kung-fu-portrait-of-beauty	6	5.4%
https://www.tvmaze.com/shows/52708/sanpa-luci-e-tenebre-di-san-patrignano	5	4.5%
https://www.tvmaze.com/shows/52104/twisted-fate-of-love	3	2.7%
https://www.tvmaze.com/shows/58689/my-supernatural-power	2	1.8%
https://www.tvmaze.com/shows/52421/you-complete-me	2	1.8%
https://www.tvmaze.com/shows/52400/dream-detective	2	1.8%
https://www.tvmaze.com/shows/51749/shi-yi-changan-mingyue-ji-shi-you	2	1.8%
Other values (60)	69	62.2%

Most occurring characters

Value	Count	Frequency (%)
/	555	9.2%
t	471	7.8%
w	466	7.7%
s	458	7.6%
o	372	6.2%
e	341	5.6%
-	269	4.5%
h	264	4.4%
m	263	4.4%
a	254	4.2%
Other values (30)	2329	38.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4320	71.5%
Other Punctuation	888	14.7%
Decimal Number	565	9.4%
Dash Punctuation	269	4.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	471	10.9%
w	466	10.8%
s	458	10.6%
o	372	8.6%
e	341	7.9%
h	264	6.1%
m	263	6.1%
a	254	5.9%
c	153	3.5%
r	152	3.5%
Other values (16)	1126	26.1%

Decimal Number

Value	Count	Frequency (%)
5	105	18.6%
2	76	13.5%
4	68	12.0%
6	57	10.1%
1	50	8.8%
0	47	8.3%
8	46	8.1%
7	42	7.4%
3	40	7.1%
9	34	6.0%

Other Punctuation

Value	Count	Frequency (%)
/	555	62.5%
.	222	25.0%
:	111	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	269	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4320	71.5%
Common	1722	28.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	471	10.9%
w	466	10.8%
s	458	10.6%
o	372	8.6%
e	341	7.9%
h	264	6.1%
m	263	6.1%
a	254	5.9%
c	153	3.5%
r	152	3.5%
Other values (16)	1126	26.1%

Common

Value	Count	Frequency (%)
/	555	32.2%
-	269	15.6%
.	222	12.9%
:	111	6.4%
5	105	6.1%
2	76	4.4%
4	68	3.9%
6	57	3.3%
1	50	2.9%
0	47	2.7%
Other values (4)	162	9.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6042	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	555	9.2%
t	471	7.8%
w	466	7.7%
s	458	7.6%
o	372	6.2%
e	341	5.6%
-	269	4.5%
h	264	4.4%
m	263	4.4%
a	254	4.2%
Other values (30)	2329	38.5%

_embedded_show_name
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	70
Distinct (%)	63.1%
Missing	0
Missing (%)	0.0%
Memory size	1016.0 B

Best Leftovers Ever!	8
Unsolved Cases of Kung Fu: Portrait of Beauty	6
Transformers: War for Cybertron Trilogy	6
Equinox	6
SanPa: Luci e tenebre di San Patrignano	5
Other values (65)	80

Length

Max length	45
Median length	25
Mean length	19.87387387
Min length	5

Characters and Unicode

Total characters	2206
Distinct characters	99
Distinct categories	5 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	51 ?
Unique (%)	45.9%

Sample

1st row	Контакты
2nd row	Зона комфорта
3rd row	Пассажиры
4th row	Yi Nian Yong Heng
5th row	7 Days of Romance

Common Values

Value	Count	Frequency (%)
Best Leftovers Ever!	8	7.2%
Unsolved Cases of Kung Fu: Portrait of Beauty	6	5.4%
Transformers: War for Cybertron Trilogy	6	5.4%
Equinox	6	5.4%
SanPa: Luci e tenebre di San Patrignano	5	4.5%
Twisted Fate of Love	3	2.7%
The Young Turks	2	1.8%
Forever Love	2	1.8%
Arashi's Diary: Voyage	2	1.8%
My Best Friend's Story	2	1.8%
Other values (60)	69	62.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
of	20	5.3%
best	10	2.6%
the	10	2.6%
leftovers	8	2.1%
ever	8	2.1%
cases	6	1.6%
for	6	1.6%
love	6	1.6%
my	6	1.6%
equinox	6	1.6%
Other values (170)	294	77.4%

Most occurring characters

Value	Count	Frequency (%)
	269	12.2%
e	203	9.2%
r	139	6.3%
o	135	6.1%
n	115	5.2%
a	113	5.1%
i	102	4.6%
t	96	4.4%
s	89	4.0%
u	64	2.9%
Other values (89)	881	39.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1548	70.2%
Uppercase Letter	332	15.0%
Space Separator	269	12.2%
Other Punctuation	43	1.9%
Decimal Number	14	0.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	203	13.1%
r	139	9.0%
o	135	8.7%
n	115	7.4%
a	113	7.3%
i	102	6.6%
t	96	6.2%
s	89	5.7%
u	64	4.1%
y	44	2.8%
Other values (42)	448	28.9%

Uppercase Letter

Value	Count	Frequency (%)
T	32	9.6%
L	30	9.0%
S	29	8.7%
B	23	6.9%
C	23	6.9%
P	22	6.6%
E	19	5.7%
F	18	5.4%
D	15	4.5%
A	15	4.5%
Other values (25)	106	31.9%

Other Punctuation

Value	Count	Frequency (%)
:	25	58.1%
!	8	18.6%
'	7	16.3%
?	1	2.3%
.	1	2.3%
,	1	2.3%

Decimal Number

Value	Count	Frequency (%)
2	5	35.7%
0	4	28.6%
1	3	21.4%
5	1	7.1%
7	1	7.1%

Space Separator

Value	Count	Frequency (%)
	269	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1752	79.4%
Common	326	14.8%
Cyrillic	128	5.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	203	11.6%
r	139	7.9%
o	135	7.7%
n	115	6.6%
a	113	6.4%
i	102	5.8%
t	96	5.5%
s	89	5.1%
u	64	3.7%
y	44	2.5%
Other values (41)	652	37.2%

Cyrillic

Value	Count	Frequency (%)
о	14	10.9%
а	12	9.4%
и	11	8.6%
т	9	7.0%
р	8	6.2%
н	8	6.2%
к	7	5.5%
е	6	4.7%
с	6	4.7%
з	4	3.1%
Other values (26)	43	33.6%

Common

Value	Count	Frequency (%)
	269	82.5%
:	25	7.7%
!	8	2.5%
'	7	2.1%
2	5	1.5%
0	4	1.2%
1	3	0.9%
5	1	0.3%
?	1	0.3%
.	1	0.3%
Other values (2)	2	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2077	94.2%
Cyrillic	128	5.8%
None	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	269	13.0%
e	203	9.8%
r	139	6.7%
o	135	6.5%
n	115	5.5%
a	113	5.4%
i	102	4.9%
t	96	4.6%
s	89	4.3%
u	64	3.1%
Other values (52)	752	36.2%

Cyrillic

Value	Count	Frequency (%)
о	14	10.9%
а	12	9.4%
и	11	8.6%
т	9	7.0%
р	8	6.2%
н	8	6.2%
к	7	5.5%
е	6	4.7%
с	6	4.7%
з	4	3.1%
Other values (26)	43	33.6%

None

Value	Count	Frequency (%)
ė	1	100.0%

_embedded_show_type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	9
Distinct (%)	8.1%
Missing	0
Missing (%)	0.0%
Memory size	1016.0 B

Scripted	54
Animation	15
Reality	11
Documentary	10
Talk Show	9
Other values (4)	12

Length

Max length	11
Median length	9
Mean length	8.252252252
Min length	4

Characters and Unicode

Total characters	916
Distinct characters	27
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Game Show
2nd row	Scripted
3rd row	Scripted
4th row	Animation
5th row	Scripted

Common Values

Value	Count	Frequency (%)
Scripted	54	48.6%
Animation	15	13.5%
Reality	11	9.9%
Documentary	10	9.0%
Talk Show	9	8.1%
Variety	4	3.6%
Game Show	3	2.7%
Sports	3	2.7%
News	2	1.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
scripted	54	43.9%
animation	15	12.2%
show	12	9.8%
reality	11	8.9%
documentary	10	8.1%
talk	9	7.3%
variety	4	3.3%
game	3	2.4%
sports	3	2.4%
news	2	1.6%

Most occurring characters

Value	Count	Frequency (%)
i	99	10.8%
t	97	10.6%
e	84	9.2%
r	71	7.8%
S	69	7.5%
c	64	7.0%
p	57	6.2%
d	54	5.9%
a	52	5.7%
o	40	4.4%
Other values (17)	229	25.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	781	85.3%
Uppercase Letter	123	13.4%
Space Separator	12	1.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	99	12.7%
t	97	12.4%
e	84	10.8%
r	71	9.1%
c	64	8.2%
p	57	7.3%
d	54	6.9%
a	52	6.7%
o	40	5.1%
n	40	5.1%
Other values (8)	123	15.7%

Uppercase Letter

Value	Count	Frequency (%)
S	69	56.1%
A	15	12.2%
R	11	8.9%
D	10	8.1%
T	9	7.3%
V	4	3.3%
G	3	2.4%
N	2	1.6%

Space Separator

Value	Count	Frequency (%)
	12	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	904	98.7%
Common	12	1.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	99	11.0%
t	97	10.7%
e	84	9.3%
r	71	7.9%
S	69	7.6%
c	64	7.1%
p	57	6.3%
d	54	6.0%
a	52	5.8%
o	40	4.4%
Other values (16)	217	24.0%

Common

Value	Count	Frequency (%)
	12	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	916	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	99	10.8%
t	97	10.6%
e	84	9.2%
r	71	7.8%
S	69	7.5%
c	64	7.0%
p	57	6.2%
d	54	5.9%
a	52	5.7%
o	40	4.4%
Other values (17)	229	25.0%

_embedded_show_language
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	20
Distinct (%)	18.0%
Missing	0
Missing (%)	0.0%
Memory size	1016.0 B

Chinese	33
English	31
Russian	8
Danish	6
Korean	5
Other values (15)	28

Length

Max length	10
Median length	7
Mean length	6.945945946
Min length	3

Characters and Unicode

Total characters	771
Distinct characters	34
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8 ?
Unique (%)	7.2%

Sample

1st row	Russian
2nd row	Russian
3rd row	Russian
4th row	Chinese
5th row	Korean

Common Values

Value	Count	Frequency (%)
Chinese	33	29.7%
English	31	27.9%
Russian	8	7.2%
Danish	6	5.4%
Korean	5	4.5%
Italian	5	4.5%
Arabic	3	2.7%
Norwegian	3	2.7%
Japanese	3	2.7%
Ukrainian	2	1.8%
Other values (10)	12	10.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
chinese	33	29.7%
english	31	27.9%
russian	8	7.2%
danish	6	5.4%
korean	5	4.5%
italian	5	4.5%
arabic	3	2.7%
norwegian	3	2.7%
japanese	3	2.7%
turkish	2	1.8%
Other values (10)	12	10.8%

Most occurring characters

Value	Count	Frequency (%)
n	106	13.7%
i	102	13.2%
s	92	11.9%
e	85	11.0%
h	76	9.9%
a	57	7.4%
g	37	4.8%
l	37	4.8%
C	33	4.3%
E	31	4.0%
Other values (24)	115	14.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	661	85.7%
Uppercase Letter	110	14.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	106	16.0%
i	102	15.4%
s	92	13.9%
e	85	12.9%
h	76	11.5%
a	57	8.6%
g	37	5.6%
l	37	5.6%
r	17	2.6%
u	13	2.0%
Other values (9)	39	5.9%

Uppercase Letter

Value	Count	Frequency (%)
C	33	30.0%
E	31	28.2%
R	8	7.3%
D	7	6.4%
K	5	4.5%
I	5	4.5%
T	5	4.5%
J	3	2.7%
N	3	2.7%
A	3	2.7%
Other values (5)	7	6.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	771	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	106	13.7%
i	102	13.2%
s	92	11.9%
e	85	11.0%
h	76	9.9%
a	57	7.4%
g	37	4.8%
l	37	4.8%
C	33	4.3%
E	31	4.0%
Other values (24)	115	14.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	771	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	106	13.7%
i	102	13.2%
s	92	11.9%
e	85	11.0%
h	76	9.9%
a	57	7.4%
g	37	4.8%
l	37	4.8%
C	33	4.3%
E	31	4.0%
Other values (24)	115	14.9%

_embedded_show_genres
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	34
Distinct (%)	30.6%
Missing	0
Missing (%)	0.0%
Memory size	1016.0 B

[]	21
['Drama', 'Romance']	13
['Food']	8
['Mystery']	6
['Comedy']	6
Other values (29)	57

Length

Max length	42
Median length	36
Mean length	17.83783784
Min length	2

Characters and Unicode

Total characters	1980
Distinct characters	33
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	14.4%

Sample

1st row	[]
2nd row	['Comedy']
3rd row	['Drama', 'Supernatural']
4th row	['Comedy', 'Action', 'Anime', 'Fantasy']
5th row	['Drama', 'Romance']

Common Values

Value	Count	Frequency (%)
[]	21	18.9%
['Drama', 'Romance']	13	11.7%
['Food']	8	7.2%
['Mystery']	6	5.4%
['Comedy']	6	5.4%
['Action', 'Adventure', 'Science-Fiction']	6	5.4%
['Drama', 'Thriller', 'Supernatural']	6	5.4%
['Crime']	5	4.5%
['Drama', 'Romance', 'History']	4	3.6%
['Drama', 'Comedy', 'Romance']	3	2.7%
Other values (24)	33	29.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
drama	39	19.4%
romance	26	12.9%
	21	10.4%
comedy	18	9.0%
mystery	11	5.5%
action	11	5.5%
food	9	4.5%
crime	8	4.0%
supernatural	8	4.0%
thriller	8	4.0%
Other values (9)	42	20.9%

Most occurring characters

Value	Count	Frequency (%)
'	360	18.2%
a	136	6.9%
e	120	6.1%
[	111	5.6%
]	111	5.6%
r	107	5.4%
m	98	4.9%
,	90	4.5%
	90	4.5%
o	86	4.3%
Other values (23)	671	33.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1022	51.6%
Other Punctuation	450	22.7%
Uppercase Letter	188	9.5%
Open Punctuation	111	5.6%
Close Punctuation	111	5.6%
Space Separator	90	4.5%
Dash Punctuation	8	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	136	13.3%
e	120	11.7%
r	107	10.5%
m	98	9.6%
o	86	8.4%
n	85	8.3%
i	69	6.8%
c	64	6.3%
t	58	5.7%
y	53	5.2%
Other values (7)	146	14.3%

Uppercase Letter

Value	Count	Frequency (%)
D	39	20.7%
C	29	15.4%
R	26	13.8%
F	25	13.3%
A	25	13.3%
S	16	8.5%
M	14	7.4%
T	8	4.3%
H	5	2.7%
W	1	0.5%

Other Punctuation

Value	Count	Frequency (%)
'	360	80.0%
,	90	20.0%

Open Punctuation

Value	Count	Frequency (%)
[	111	100.0%

Close Punctuation

Value	Count	Frequency (%)
]	111	100.0%

Space Separator

Value	Count	Frequency (%)
	90	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	8	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1210	61.1%
Common	770	38.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	136	11.2%
e	120	9.9%
r	107	8.8%
m	98	8.1%
o	86	7.1%
n	85	7.0%
i	69	5.7%
c	64	5.3%
t	58	4.8%
y	53	4.4%
Other values (17)	334	27.6%

Common

Value	Count	Frequency (%)
'	360	46.8%
[	111	14.4%
]	111	14.4%
,	90	11.7%
	90	11.7%
-	8	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1980	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
'	360	18.2%
a	136	6.9%
e	120	6.1%
[	111	5.6%
]	111	5.6%
r	107	5.4%
m	98	4.9%
,	90	4.5%
	90	4.5%
o	86	4.3%
Other values (23)	671	33.9%

_embedded_show_status
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Memory size	1016.0 B

Ended	49
Running	42
To Be Determined	20

Length

Max length	16
Median length	7
Mean length	7.738738739
Min length	5

Characters and Unicode

Total characters	859
Distinct characters	16
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Running
2nd row	Ended
3rd row	Running
4th row	Running
5th row	Ended

Common Values

Value	Count	Frequency (%)
Ended	49	44.1%
Running	42	37.8%
To Be Determined	20	18.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
ended	49	32.5%
running	42	27.8%
to	20	13.2%
be	20	13.2%
determined	20	13.2%

Most occurring characters

Value	Count	Frequency (%)
n	195	22.7%
e	129	15.0%
d	118	13.7%
i	62	7.2%
E	49	5.7%
R	42	4.9%
u	42	4.9%
g	42	4.9%
	40	4.7%
T	20	2.3%
Other values (6)	120	14.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	668	77.8%
Uppercase Letter	151	17.6%
Space Separator	40	4.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	195	29.2%
e	129	19.3%
d	118	17.7%
i	62	9.3%
u	42	6.3%
g	42	6.3%
o	20	3.0%
t	20	3.0%
r	20	3.0%
m	20	3.0%

Uppercase Letter

Value	Count	Frequency (%)
E	49	32.5%
R	42	27.8%
T	20	13.2%
B	20	13.2%
D	20	13.2%

Space Separator

Value	Count	Frequency (%)
	40	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	819	95.3%
Common	40	4.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	195	23.8%
e	129	15.8%
d	118	14.4%
i	62	7.6%
E	49	6.0%
R	42	5.1%
u	42	5.1%
g	42	5.1%
T	20	2.4%
o	20	2.4%
Other values (5)	100	12.2%

Common

Value	Count	Frequency (%)
	40	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	859	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	195	22.7%
e	129	15.0%
d	118	13.7%
i	62	7.2%
E	49	5.7%
R	42	4.9%
u	42	4.9%
g	42	4.9%
	40	4.7%
T	20	2.3%
Other values (6)	120	14.0%

_embedded_show_runtime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	18
Distinct (%)	28.6%
Missing	48
Missing (%)	43.2%
Infinite	0
Infinite (%)	0.0%
Mean	41.22222222

Minimum	4
Maximum	120
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1016.0 B

Quantile statistics

Minimum	4
5-th percentile	12.3
Q1	24
median	38
Q3	45
95-th percentile	117
Maximum	120
Range	116
Interquartile range (IQR)	21

Descriptive statistics

Standard deviation	26.50529128
Coefficient of variation (CV)	0.6429855028
Kurtosis	3.1201341
Mean	41.22222222
Median Absolute Deviation (MAD)	8
Skewness	1.725275084
Sum	2597
Variance	702.5304659
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
45	19	17.1%
30	10	9.0%
20	8	7.2%
120	4	3.6%
60	3	2.7%
25	3	2.7%
38	2	1.8%
40	2	1.8%
90	2	1.8%
12	2	1.8%
Other values (8)	8	7.2%
(Missing)	48	43.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	1	0.9%
5	1	0.9%
12	2	1.8%
15	1	0.9%
19	1	0.9%
20	8	7.2%
22	1	0.9%
23	1	0.9%
25	3	2.7%
30	10	9.0%

Value	Count	Frequency (%)
120	4	3.6%
90	2	1.8%
66	1	0.9%
60	3	2.7%
45	19	17.1%
40	2	1.8%
38	2	1.8%
33	1	0.9%
30	10	9.0%
25	3	2.7%

_embedded_show_averageRuntime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	34
Distinct (%)	32.1%
Missing	5
Missing (%)	4.5%
Infinite	0
Infinite (%)	0.0%
Mean	38.05660377

Minimum	4
Maximum	120
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1016.0 B

Quantile statistics

Minimum	4
5-th percentile	12
Q1	25
median	36
Q3	45
95-th percentile	75.75
Maximum	120
Range	116
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	22.48081942
Coefficient of variation (CV)	0.5907205896
Kurtosis	4.224712472
Mean	38.05660377
Median Absolute Deviation (MAD)	10
Skewness	1.697654214
Sum	4034
Variance	505.3872417
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
45	18	16.2%
30	11	9.9%
25	10	9.0%
36	9	8.1%
60	7	6.3%
20	6	5.4%
46	6	5.4%
12	5	4.5%
120	3	2.7%
42	3	2.7%
Other values (24)	28	25.2%
(Missing)	5	4.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	1	0.9%
5	2	1.8%
9	1	0.9%
10	1	0.9%
12	5	4.5%
13	1	0.9%
15	1	0.9%
16	1	0.9%
17	1	0.9%
18	1	0.9%

Value	Count	Frequency (%)
120	3	2.7%
110	1	0.9%
90	1	0.9%
76	1	0.9%
75	1	0.9%
60	7	6.3%
58	1	0.9%
57	1	0.9%
55	1	0.9%
46	6	5.4%

_embedded_show_premiered
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	52
Distinct (%)	46.8%
Missing	0
Missing (%)	0.0%
Memory size	1016.0 B

2020-12-30	35
2020-07-30	6
2020-12-16	4
2020-11-23	3
2020-12-24	3
Other values (47)	60

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	1110
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	37 ?
Unique (%)	33.3%

Sample

1st row	2019-04-03
2nd row	2020-10-22
3rd row	2020-12-24
4th row	2020-08-12
5th row	2019-10-08

Common Values

Value	Count	Frequency (%)
2020-12-30	35	31.5%
2020-07-30	6	5.4%
2020-12-16	4	3.6%
2020-11-23	3	2.7%
2020-12-24	3	2.7%
2020-12-14	3	2.7%
2020-12-08	3	2.7%
2020-11-18	3	2.7%
2013-12-24	2	1.8%
2020-12-02	2	1.8%
Other values (42)	47	42.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-30	35	31.5%
2020-07-30	6	5.4%
2020-12-16	4	3.6%
2020-11-23	3	2.7%
2020-12-24	3	2.7%
2020-12-14	3	2.7%
2020-12-08	3	2.7%
2020-11-18	3	2.7%
2019-12-31	2	1.8%
2019-01-17	2	1.8%
Other values (42)	47	42.3%

Most occurring characters

Value	Count	Frequency (%)
2	290	26.1%
0	284	25.6%
-	222	20.0%
1	160	14.4%
3	58	5.2%
9	25	2.3%
8	20	1.8%
7	18	1.6%
4	16	1.4%
6	11	1.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	888	80.0%
Dash Punctuation	222	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	290	32.7%
0	284	32.0%
1	160	18.0%
3	58	6.5%
9	25	2.8%
8	20	2.3%
7	18	2.0%
4	16	1.8%
6	11	1.2%
5	6	0.7%

Dash Punctuation

Value	Count	Frequency (%)
-	222	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1110	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	290	26.1%
0	284	25.6%
-	222	20.0%
1	160	14.4%
3	58	5.2%
9	25	2.3%
8	20	1.8%
7	18	1.6%
4	16	1.4%
6	11	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1110	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	290	26.1%
0	284	25.6%
-	222	20.0%
1	160	14.4%
3	58	5.2%
9	25	2.3%
8	20	1.8%
7	18	1.6%
4	16	1.4%
6	11	1.0%

_embedded_show_ended
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	18
Distinct (%)	16.2%
Missing	0
Missing (%)	0.0%
Memory size	1016.0 B

nan	62
2020-12-30	12
2021-01-07	8
2021-07-29	6
2021-01-05	4
Other values (13)	19

Length

Max length	10
Median length	3
Mean length	6.09009009
Min length	3

Characters and Unicode

Total characters	676
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	6.3%

Sample

1st row	nan
2nd row	2022-03-02
3rd row	nan
4th row	nan
5th row	2021-01-20

Common Values

Value	Count	Frequency (%)
nan	62	55.9%
2020-12-30	12	10.8%
2021-01-07	8	7.2%
2021-07-29	6	5.4%
2021-01-05	4	3.6%
2021-02-28	2	1.8%
2021-02-03	2	1.8%
2022-01-01	2	1.8%
2021-01-27	2	1.8%
2021-01-20	2	1.8%
Other values (8)	9	8.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	62	55.9%
2020-12-30	12	10.8%
2021-01-07	8	7.2%
2021-07-29	6	5.4%
2021-01-05	4	3.6%
2021-01-27	2	1.8%
2021-01-14	2	1.8%
2021-01-20	2	1.8%
2022-01-01	2	1.8%
2021-02-03	2	1.8%
Other values (8)	9	8.1%

Most occurring characters

Value	Count	Frequency (%)
2	134	19.8%
0	131	19.4%
n	124	18.3%
-	98	14.5%
1	75	11.1%
a	62	9.2%
3	20	3.0%
7	16	2.4%
9	6	0.9%
5	4	0.6%
Other values (3)	6	0.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	392	58.0%
Lowercase Letter	186	27.5%
Dash Punctuation	98	14.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	134	34.2%
0	131	33.4%
1	75	19.1%
3	20	5.1%
7	16	4.1%
9	6	1.5%
5	4	1.0%
4	3	0.8%
8	2	0.5%
6	1	0.3%

Lowercase Letter

Value	Count	Frequency (%)
n	124	66.7%
a	62	33.3%

Dash Punctuation

Value	Count	Frequency (%)
-	98	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	490	72.5%
Latin	186	27.5%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	134	27.3%
0	131	26.7%
-	98	20.0%
1	75	15.3%
3	20	4.1%
7	16	3.3%
9	6	1.2%
5	4	0.8%
4	3	0.6%
8	2	0.4%

Latin

Value	Count	Frequency (%)
n	124	66.7%
a	62	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	676	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	134	19.8%
0	131	19.4%
n	124	18.3%
-	98	14.5%
1	75	11.1%
a	62	9.2%
3	20	3.0%
7	16	2.4%
9	6	0.9%
5	4	0.6%
Other values (3)	6	0.9%

_embedded_show_officialSite
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	63
Distinct (%)	56.8%
Missing	0
Missing (%)	0.0%
Memory size	1016.0 B

nan	12
https://www.netflix.com/title/81087405	8
https://www.netflix.com/title/81002438	6
https://v.qq.com/x/cover/mzc00200tyfmlws.html	6
https://www.netflix.com/title/81075958	6
Other values (58)	73

Length

Max length	250
Median length	79
Mean length	43.10810811
Min length	3

Characters and Unicode

Total characters	4785
Distinct characters	75
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	47 ?
Unique (%)	42.3%

Sample

1st row	https://www.youtube.com/playlist?list=PLZ1FUdedsrSJubWkFFh5vKHzawzQk1mYI
2nd row	https://okko.tv/serial/zona-komforta
3rd row	https://start.ru/watch/passazhiry
4th row	https://v.qq.com/detail/w/ww18u675tfmhas6.html
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	12	10.8%
https://www.netflix.com/title/81087405	8	7.2%
https://www.netflix.com/title/81002438	6	5.4%
https://v.qq.com/x/cover/mzc00200tyfmlws.html	6	5.4%
https://www.netflix.com/title/81075958	6	5.4%
https://www.netflix.com/title/81010965	5	4.5%
https://v.qq.com/x/search/?q=+%E4%BB%8A%E5%A4%95%E4%BD%95%E5%A4%95&stag=0&smartbox_ab=	3	2.7%
https://v.qq.com/detail/m/mzc00200ur8p8zp.html	2	1.8%
https://v.qq.com/detail/u/umpnsyqfu7f60se.html	2	1.8%
https://v.qq.com/detail/m/mzc00200dnvb1wh.html	2	1.8%
Other values (53)	59	53.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	12	10.8%
https://www.netflix.com/title/81087405	8	7.2%
https://www.netflix.com/title/81002438	6	5.4%
https://v.qq.com/x/cover/mzc00200tyfmlws.html	6	5.4%
https://www.netflix.com/title/81075958	6	5.4%
https://www.netflix.com/title/81010965	5	4.5%
https://v.qq.com/x/search/?q=+%e4%bb%8a%e5%a4%95%e4%bd%95%e5%a4%95&stag=0&smartbox_ab	3	2.7%
https://www.iqiyi.com/a_19rrhllpip.html	2	1.8%
http://www.iqiyi.com/a_19rrhvpyyp.html	2	1.8%
https://www.gain.tv/t/21dn4vz5/10-bin-adim	2	1.8%
Other values (53)	59	53.2%

Most occurring characters

Value	Count	Frequency (%)
t	421	8.8%
/	402	8.4%
w	231	4.8%
.	209	4.4%
s	196	4.1%
e	188	3.9%
o	169	3.5%
m	166	3.5%
h	163	3.4%
i	163	3.4%
Other values (65)	2477	51.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2966	62.0%
Other Punctuation	847	17.7%
Decimal Number	584	12.2%
Uppercase Letter	312	6.5%
Dash Punctuation	37	0.8%
Math Symbol	25	0.5%
Connector Punctuation	14	0.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	421	14.2%
w	231	7.8%
s	196	6.6%
e	188	6.3%
o	169	5.7%
m	166	5.6%
h	163	5.5%
i	163	5.5%
l	159	5.4%
p	144	4.9%
Other values (16)	966	32.6%

Uppercase Letter

Value	Count	Frequency (%)
B	48	15.4%
E	43	13.8%
A	26	8.3%
L	20	6.4%
Y	14	4.5%
W	13	4.2%
D	13	4.2%
P	13	4.2%
H	10	3.2%
R	10	3.2%
Other values (16)	102	32.7%

Decimal Number

Value	Count	Frequency (%)
0	129	22.1%
8	98	16.8%
1	72	12.3%
5	64	11.0%
9	52	8.9%
4	43	7.4%
2	40	6.8%
7	34	5.8%
6	26	4.5%
3	26	4.5%

Other Punctuation

Value	Count	Frequency (%)
/	402	47.5%
.	209	24.7%
%	111	13.1%
:	99	11.7%
?	13	1.5%
&	9	1.1%
'	2	0.2%
#	1	0.1%
!	1	0.1%

Math Symbol

Value	Count	Frequency (%)
=	22	88.0%
+	3	12.0%

Dash Punctuation

Value	Count	Frequency (%)
-	37	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	14	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3278	68.5%
Common	1507	31.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	421	12.8%
w	231	7.0%
s	196	6.0%
e	188	5.7%
o	169	5.2%
m	166	5.1%
h	163	5.0%
i	163	5.0%
l	159	4.9%
p	144	4.4%
Other values (42)	1278	39.0%

Common

Value	Count	Frequency (%)
/	402	26.7%
.	209	13.9%
0	129	8.6%
%	111	7.4%
:	99	6.6%
8	98	6.5%
1	72	4.8%
5	64	4.2%
9	52	3.5%
4	43	2.9%
Other values (13)	228	15.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4785	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	421	8.8%
/	402	8.4%
w	231	4.8%
.	209	4.4%
s	196	4.1%
e	188	3.9%
o	169	3.5%
m	166	3.5%
h	163	3.4%
i	163	3.4%
Other values (65)	2477	51.8%

_embedded_show_weight
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	50
Distinct (%)	45.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	37.23423423

Minimum	0
Maximum	99
Zeros	8
Zeros (%)	7.2%
Negative	0
Negative (%)	0.0%
Memory size	1016.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	17
median	29
Q3	59
95-th percentile	88
Maximum	99
Range	99
Interquartile range (IQR)	42

Descriptive statistics

Standard deviation	29.32264249
Coefficient of variation (CV)	0.7875183443
Kurtosis	-0.9203412877
Mean	37.23423423
Median Absolute Deviation (MAD)	19
Skewness	0.605760988
Sum	4133
Variance	859.8173628
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	8	7.2%
40	8	7.2%
86	7	6.3%
88	7	6.3%
19	6	5.4%
18	6	5.4%
6	5	4.5%
36	5	4.5%
17	5	4.5%
8	4	3.6%
Other values (40)	50	45.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	8	7.2%
1	1	0.9%
2	1	0.9%
3	1	0.9%
5	1	0.9%
6	5	4.5%
7	1	0.9%
8	4	3.6%
10	1	0.9%
14	3	2.7%

Value	Count	Frequency (%)
99	1	0.9%
94	1	0.9%
88	7	6.3%
86	7	6.3%
84	1	0.9%
82	1	0.9%
77	2	1.8%
73	1	0.9%
70	1	0.9%
69	1	0.9%

_embedded_show_dvdCountry
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Memory size	1016.0 B

nan	109
{'name': 'Korea, Republic of', 'code': 'KR', 'timezone': 'Asia/Seoul'}	1
{'name': 'Ukraine', 'code': 'UA', 'timezone': 'Europe/Zaporozhye'}	1

Length

Max length	70
Median length	3
Mean length	4.171171171
Min length	3

Characters and Unicode

Total characters	463
Distinct characters	34
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	1.8%

Sample

1st row	nan
2nd row	nan
3rd row	nan
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	109	98.2%
{'name': 'Korea, Republic of', 'code': 'KR', 'timezone': 'Asia/Seoul'}	1	0.9%
{'name': 'Ukraine', 'code': 'UA', 'timezone': 'Europe/Zaporozhye'}	1	0.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
nan	109	88.6%
name	2	1.6%
code	2	1.6%
timezone	2	1.6%
korea	1	0.8%
republic	1	0.8%
of	1	0.8%
kr	1	0.8%
asia/seoul	1	0.8%
ukraine	1	0.8%
Other values (2)	2	1.6%

Most occurring characters

Value	Count	Frequency (%)
n	223	48.2%
a	115	24.8%
'	24	5.2%
e	14	3.0%
	12	2.6%
o	10	2.2%
:	6	1.3%
,	5	1.1%
i	5	1.1%
r	4	0.9%
Other values (24)	45	9.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	399	86.2%
Other Punctuation	37	8.0%
Space Separator	12	2.6%
Uppercase Letter	11	2.4%
Close Punctuation	2	0.4%
Open Punctuation	2	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	223	55.9%
a	115	28.8%
e	14	3.5%
o	10	2.5%
i	5	1.3%
r	4	1.0%
m	4	1.0%
p	3	0.8%
u	3	0.8%
c	3	0.8%
Other values (10)	15	3.8%

Uppercase Letter

Value	Count	Frequency (%)
K	2	18.2%
U	2	18.2%
A	2	18.2%
R	2	18.2%
S	1	9.1%
E	1	9.1%
Z	1	9.1%

Other Punctuation

Value	Count	Frequency (%)
'	24	64.9%
:	6	16.2%
,	5	13.5%
/	2	5.4%

Space Separator

Value	Count	Frequency (%)
	12	100.0%

Close Punctuation

Value	Count	Frequency (%)
}	2	100.0%

Open Punctuation

Value	Count	Frequency (%)
{	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	410	88.6%
Common	53	11.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	223	54.4%
a	115	28.0%
e	14	3.4%
o	10	2.4%
i	5	1.2%
r	4	1.0%
m	4	1.0%
p	3	0.7%
u	3	0.7%
c	3	0.7%
Other values (17)	26	6.3%

Common

Value	Count	Frequency (%)
'	24	45.3%
	12	22.6%
:	6	11.3%
,	5	9.4%
}	2	3.8%
/	2	3.8%
{	2	3.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	463	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	223	48.2%
a	115	24.8%
'	24	5.2%
e	14	3.0%
	12	2.6%
o	10	2.2%
:	6	1.3%
,	5	1.1%
i	5	1.1%
r	4	0.9%
Other values (24)	45	9.7%

_embedded_show_summary
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	62
Distinct (%)	55.9%
Missing	0
Missing (%)	0.0%
Memory size	1016.0 B

nan	9
<p>The kings & queens of leftover cooking will take a leftover dish on an epic journey across two rounds. Each half-hour after party, our home cooks will compete in the ultimate food makeover, finding ways to give old leftovers new life, all in the hopes of winning a $10,000 prize! Join host Jackie Tohn and judges David So and Rosemary Shrager as they watch our contestants transform leftovers into delicious creations. </p>	8
<p><b>Equinox</b> is a character-driven supernatural thriller about a young woman named Astrid, who is affected by the unexplainable disappearance of a school class in 1999. The series is set in Denmark and swipes back and forth between 1999, where it all started, and the present time.</p><p>Astrid is only 10 years old in the year 1999 when a class of graduating students inexplicably disappears without a trace. Astrid, who was close to one of the missing students becomes traumatized and plagued by horrific visions after the disappearance. In 2020, Astrid is peacefully living with her family when all of a sudden the nightmares come back and start haunting her. When the one survivor from 1999 mysteriously dies, Astrid is determined to find out what happened to the class, only to discover a dark and unsettling truth that involves her in ways she never imagined.</p>	6
<p>Young noble Chu Yun Xiao crosses paths with female doctor Leng Xing Chen because of a beauty portrait. Together with their friends, the six people who are pulled into a terrifying conspiracy form a detective team to uncover the secrets surrounding the portrait. Chu Yunxiao has ventured into the pugilistic world for the first time. Aspiring to be a chivalrous hero, he relies on his outstanding martial arts skills and high intelligence to solve a difficult case. However, he unexpectedly discovers that he is also a chess piece in this dangerous game. As the fog is slowly lifted, Chu Yun Xiao becomes aware of an unbearable truth that the past twenty years of his life was nothing but a lie.</p>	6
<p><b>Transformers: War for Cybertron Trilogy</b> is a three-part arc following the war between the Autobots and Decepticons, complete with a new animation look and style.</p>	6
Other values (57)	76

Length

Max length	1253
Median length	682
Mean length	379.6936937
Min length	3

Characters and Unicode

Total characters	42146
Distinct characters	89
Distinct categories	11 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	42 ?
Unique (%)	37.8%

Sample

1st row	nan
2nd row	nan
3rd row	nan
4th row	<p>One will to create oceans. One will to summon the mulberry fields.<br /><br />One will to slaughter countless devils. One will to eradicate innumerable immortals.<br /><br />Only my will… is eternal.<br /><br />A Will Eternal tells the tale of Bai Xiaochun, an endearing but exasperating young man who is driven primarily by his fear of death and desire to live forever, but who deeply values friendship and family.<br /><br />(Source: Novel Updates)</p>
5th row	<p>Da Eun works part-time and Kim Byul is an idol in her 5th years since debut. These two girls who look alike decide to change each other's lives just for 7 days. It tells the romantic encounters of these 2 girls.</p>

Common Values

Value	Count	Frequency (%)
nan	9	8.1%
<p>The kings & queens of leftover cooking will take a leftover dish on an epic journey across two rounds. Each half-hour after party, our home cooks will compete in the ultimate food makeover, finding ways to give old leftovers new life, all in the hopes of winning a $10,000 prize! Join host Jackie Tohn and judges David So and Rosemary Shrager as they watch our contestants transform leftovers into delicious creations. </p>	8	7.2%
<p><b>Equinox</b> is a character-driven supernatural thriller about a young woman named Astrid, who is affected by the unexplainable disappearance of a school class in 1999. The series is set in Denmark and swipes back and forth between 1999, where it all started, and the present time.</p><p>Astrid is only 10 years old in the year 1999 when a class of graduating students inexplicably disappears without a trace. Astrid, who was close to one of the missing students becomes traumatized and plagued by horrific visions after the disappearance. In 2020, Astrid is peacefully living with her family when all of a sudden the nightmares come back and start haunting her. When the one survivor from 1999 mysteriously dies, Astrid is determined to find out what happened to the class, only to discover a dark and unsettling truth that involves her in ways she never imagined.</p>	6	5.4%
<p>Young noble Chu Yun Xiao crosses paths with female doctor Leng Xing Chen because of a beauty portrait. Together with their friends, the six people who are pulled into a terrifying conspiracy form a detective team to uncover the secrets surrounding the portrait. Chu Yunxiao has ventured into the pugilistic world for the first time. Aspiring to be a chivalrous hero, he relies on his outstanding martial arts skills and high intelligence to solve a difficult case. However, he unexpectedly discovers that he is also a chess piece in this dangerous game. As the fog is slowly lifted, Chu Yun Xiao becomes aware of an unbearable truth that the past twenty years of his life was nothing but a lie.</p>	6	5.4%
<p><b>Transformers: War for Cybertron Trilogy</b> is a three-part arc following the war between the Autobots and Decepticons, complete with a new animation look and style.</p>	6	5.4%
<p>Amidst a heroin crisis, Vincenzo Muccioli cared for the addicted, earning him fierce public devotion — even as charges of violence began to mount.</p>	5	4.5%
<p>During the Yin Dynasty, Dong Yue, a brave general in the Dingyuan Rebellion, was sent back in time to stop a war that would claim the lives of countless innocents. She sets out to murder corrupted officer Lu Yuantong in an attempt to prevent war, and during her journey she met Feng Xi and Pang Yu. Pang Yu and Feng Xi were old friends who cared deeply for each other, but fell out and turn into enemies. While trying to reconcile the two brothers, Dong Yue also tries to stop Lu Yuantang's evil schemes which are poised to tear the nation apart with their help.</p>	3	2.7%
<p>‎At the end of the 20th century, due to the sudden decision of Xin Shensheng, gao Shan's business went bankrupt. Gao Shan wants to prove his father's innocence, but on his way suddenly falls in love with the daughter of Xin Shensheng, Tsin Waugh. Learning about the intentions of Gao Shan, Xin Shansheng makes him quit his job. ‎<br /><br />‎Gao Shan decides to go to Hong Kong to start from scratch, where he meets a benefactor and earns his first million in his life. Under the guidance of a mentor, he goes to Beijing and becomes a well-known investor. Soon Gao Shan meets Tsin Vo, who became a financial headhunter. Can love help them find their way to each other again? ‎<br /><br />‎Based on the novel by Xiao Moli "Little Storm 1.0"‎</p>	2	1.8%
<p>Two unlikely individuals join forces to find the truth behind a series of murders using an unconventional method. Chen Si, a female detective with a sense of justice, unexpectedly becomess partners with Yuan Shuai, a dream interpreter with a dark past.</p>	2	1.8%
<p>Princess Ming Yue and Li Qiang, the emperor's ninth prince, are forced to marry in order to keep the peace in their kingdoms. As the princess finally seems to be getting used to her new life in Chang'An (an ancient Chinese capital), there are plots hovering against her and the royal family.</p>	2	1.8%
Other values (52)	62	55.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	366	5.2%
a	253	3.6%
and	225	3.2%
to	199	2.8%
of	177	2.5%
in	130	1.8%
is	92	1.3%
with	74	1.1%
her	65	0.9%
his	64	0.9%
Other values (1615)	5387	76.6%

Most occurring characters

Value	Count	Frequency (%)
	6904	16.4%
e	3943	9.4%
t	2647	6.3%
a	2609	6.2%
n	2440	5.8%
o	2377	5.6%
i	2373	5.6%
s	2160	5.1%
r	2068	4.9%
h	1640	3.9%
Other values (79)	12985	30.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	32055	76.1%
Space Separator	6926	16.4%
Uppercase Letter	1154	2.7%
Other Punctuation	997	2.4%
Math Symbol	660	1.6%
Decimal Number	240	0.6%
Dash Punctuation	82	0.2%
Format	12	< 0.1%
Currency Symbol	8	< 0.1%
Open Punctuation	6	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	3943	12.3%
t	2647	8.3%
a	2609	8.1%
n	2440	7.6%
o	2377	7.4%
i	2373	7.4%
s	2160	6.7%
r	2068	6.5%
h	1640	5.1%
l	1259	3.9%
Other values (22)	8539	26.6%

Uppercase Letter

Value	Count	Frequency (%)
S	119	10.3%
A	110	9.5%
T	97	8.4%
W	82	7.1%
Y	75	6.5%
C	70	6.1%
L	65	5.6%
D	58	5.0%
M	55	4.8%
X	47	4.1%
Other values (16)	376	32.6%

Other Punctuation

Value	Count	Frequency (%)
,	364	36.5%
.	332	33.3%
/	175	17.6%
'	51	5.1%
"	21	2.1%
!	15	1.5%
:	13	1.3%
?	9	0.9%
&	8	0.8%
;	8	0.8%

Decimal Number

Value	Count	Frequency (%)
9	76	31.7%
0	71	29.6%
1	51	21.2%
2	28	11.7%
8	5	2.1%
3	3	1.2%
5	3	1.2%
7	2	0.8%
4	1	0.4%

Dash Punctuation

Value	Count	Frequency (%)
-	64	78.0%
—	16	19.5%
–	2	2.4%

Space Separator

Value	Count	Frequency (%)
	6904	99.7%
	22	0.3%

Math Symbol

Value	Count	Frequency (%)
>	330	50.0%
<	330	50.0%

Format

Value	Count	Frequency (%)
‎	12	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	8	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	6	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	33209	78.8%
Common	8937	21.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	3943	11.9%
t	2647	8.0%
a	2609	7.9%
n	2440	7.3%
o	2377	7.2%
i	2373	7.1%
s	2160	6.5%
r	2068	6.2%
h	1640	4.9%
l	1259	3.8%
Other values (48)	9693	29.2%

Common

Value	Count	Frequency (%)
	6904	77.3%
,	364	4.1%
.	332	3.7%
>	330	3.7%
<	330	3.7%
/	175	2.0%
9	76	0.9%
0	71	0.8%
-	64	0.7%
1	51	0.6%
Other values (21)	240	2.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	42085	99.9%
Punctuation	31	0.1%
None	30	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	6904	16.4%
e	3943	9.4%
t	2647	6.3%
a	2609	6.2%
n	2440	5.8%
o	2377	5.6%
i	2373	5.6%
s	2160	5.1%
r	2068	4.9%
h	1640	3.9%
Other values (68)	12924	30.7%

None

Value	Count	Frequency (%)
	22	73.3%
á	2	6.7%
č	2	6.7%
é	1	3.3%
ū	1	3.3%
ė	1	3.3%
å	1	3.3%

Punctuation

Value	Count	Frequency (%)
—	16	51.6%
‎	12	38.7%
–	2	6.5%
…	1	3.2%

_embedded_show_updated
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	70
Distinct (%)	63.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1632002746

Minimum	1609402718
Maximum	1652004050
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1016.0 B

Quantile statistics

Minimum	1609402718
5-th percentile	1609468930
Q1	1613214909
median	1640453062
Q3	1649674086
95-th percentile	1651839506
Maximum	1652004050
Range	42601332
Interquartile range (IQR)	36459176.5

Descriptive statistics

Standard deviation	17515769.21
Coefficient of variation (CV)	0.01073268366
Kurtosis	-1.846656545
Mean	1632002746
Median Absolute Deviation (MAD)	11410204
Skewness	-0.1390105365
Sum	1.811523049 × 10¹¹
Variance	3.068021709 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1613214909	8	7.2%
1650622651	6	5.4%
1646120734	6	5.4%
1609402718	6	5.4%
1613754307	5	4.5%
1609535141	3	2.7%
1648190058	2	1.8%
1612478145	2	1.8%
1615058554	2	1.8%
1610506687	2	1.8%
Other values (60)	69	62.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1609402718	6	5.4%
1609535141	3	2.7%
1609651676	2	1.8%
1609799896	2	1.8%
1610506687	2	1.8%
1611189179	1	0.9%
1612378117	1	0.9%
1612478145	2	1.8%
1612479920	1	0.9%
1612842583	2	1.8%

Value	Count	Frequency (%)
1652004050	1	0.9%
1651990755	1	0.9%
1651933962	1	0.9%
1651863266	2	1.8%
1651840365	1	0.9%
1651838647	1	0.9%
1651749165	1	0.9%
1651688041	1	0.9%
1651682188	1	0.9%
1651645684	1	0.9%

_links_self_href
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	111
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	1016.0 B

https://api.tvmaze.com/episodes/1977902	1
https://api.tvmaze.com/episodes/1949329	1
https://api.tvmaze.com/episodes/2042003	1
https://api.tvmaze.com/episodes/1996399	1
https://api.tvmaze.com/episodes/1955318	1
Other values (106)	106

Length

Max length	39
Median length	39
Mean length	39
Min length	39

Characters and Unicode

Total characters	4329
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	111 ?
Unique (%)	100.0%

Sample

1st row	https://api.tvmaze.com/episodes/1977902
2nd row	https://api.tvmaze.com/episodes/2015818
3rd row	https://api.tvmaze.com/episodes/1964000
4th row	https://api.tvmaze.com/episodes/1995405
5th row	https://api.tvmaze.com/episodes/2007760

Common Values

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1977902	1	0.9%
https://api.tvmaze.com/episodes/1949329	1	0.9%
https://api.tvmaze.com/episodes/2042003	1	0.9%
https://api.tvmaze.com/episodes/1996399	1	0.9%
https://api.tvmaze.com/episodes/1955318	1	0.9%
https://api.tvmaze.com/episodes/1996786	1	0.9%
https://api.tvmaze.com/episodes/1949336	1	0.9%
https://api.tvmaze.com/episodes/1949335	1	0.9%
https://api.tvmaze.com/episodes/1949334	1	0.9%
https://api.tvmaze.com/episodes/1949333	1	0.9%
Other values (101)	101	91.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1977902	1	0.9%
https://api.tvmaze.com/episodes/2065447	1	0.9%
https://api.tvmaze.com/episodes/1964000	1	0.9%
https://api.tvmaze.com/episodes/1995405	1	0.9%
https://api.tvmaze.com/episodes/2007760	1	0.9%
https://api.tvmaze.com/episodes/1985789	1	0.9%
https://api.tvmaze.com/episodes/2039622	1	0.9%
https://api.tvmaze.com/episodes/2039623	1	0.9%
https://api.tvmaze.com/episodes/2324427	1	0.9%
https://api.tvmaze.com/episodes/2324428	1	0.9%
Other values (101)	101	91.0%

Most occurring characters

Value	Count	Frequency (%)
/	444	10.3%
p	333	7.7%
s	333	7.7%
e	333	7.7%
t	333	7.7%
o	222	5.1%
a	222	5.1%
i	222	5.1%
.	222	5.1%
m	222	5.1%
Other values (16)	1443	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2775	64.1%
Other Punctuation	777	17.9%
Decimal Number	777	17.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
p	333	12.0%
s	333	12.0%
e	333	12.0%
t	333	12.0%
o	222	8.0%
a	222	8.0%
i	222	8.0%
m	222	8.0%
h	111	4.0%
d	111	4.0%
Other values (3)	333	12.0%

Decimal Number

Value	Count	Frequency (%)
9	120	15.4%
2	116	14.9%
0	100	12.9%
1	99	12.7%
3	67	8.6%
6	65	8.4%
8	63	8.1%
7	53	6.8%
4	50	6.4%
5	44	5.7%

Other Punctuation

Value	Count	Frequency (%)
/	444	57.1%
.	222	28.6%
:	111	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2775	64.1%
Common	1554	35.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	444	28.6%
.	222	14.3%
9	120	7.7%
2	116	7.5%
:	111	7.1%
0	100	6.4%
1	99	6.4%
3	67	4.3%
6	65	4.2%
8	63	4.1%
Other values (3)	147	9.5%

Latin

Value	Count	Frequency (%)
p	333	12.0%
s	333	12.0%
e	333	12.0%
t	333	12.0%
o	222	8.0%
a	222	8.0%
i	222	8.0%
m	222	8.0%
h	111	4.0%
d	111	4.0%
Other values (3)	333	12.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4329	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	444	10.3%
p	333	7.7%
s	333	7.7%
e	333	7.7%
t	333	7.7%
o	222	5.1%
a	222	5.1%
i	222	5.1%
.	222	5.1%
m	222	5.1%
Other values (16)	1443	33.3%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	id	url	name	season	number	type	airdate	airtime	airstamp	runtime	summary	_embedded_show_id	_embedded_show_url	_embedded_show_name	_embedded_show_type	_embedded_show_language	_embedded_show_genres	_embedded_show_status	_embedded_show_runtime	_embedded_show_averageRuntime	_embedded_show_premiered	_embedded_show_ended	_embedded_show_officialSite	_embedded_show_weight	_embedded_show_dvdCountry	_embedded_show_summary	_embedded_show_updated	_links_self_href
0	2179615	https://www.tvmaze.com/episodes/2179615/kontakty-1x32-kontakty-v-telefone-arsenia-popova-pavel-vola-ekaterina-varnava-ila-sobolev-edgard-zapasnyj	КОНТАКТЫ в телефоне Арсения Попова: Павел Воля, Екатерина Варнава, Илья Соболев, Эдгард Запашный	1.0	32.0	regular	2020-12-30	12:00	2020-12-30T00:00:00+00:00	45.0	nan	49630	https://www.tvmaze.com/shows/49630/kontakty	Контакты	Game Show	Russian	[]	Running	30.0	41.0	2019-04-03	nan	https://www.youtube.com/playlist?list=PLZ1FUdedsrSJubWkFFh5vKHzawzQk1mYI	53.0	nan	nan	1.651688e+09	https://api.tvmaze.com/episodes/1977902
1	2001718	https://www.tvmaze.com/episodes/2001718/zona-komforta-s01-special-zona-komforta-osuitelno-specialnyj-vypusk	Зона Комфорта. Ошуительно Специальный Выпуск	1.0	NaN	insignificant_special	2020-12-30	nan	2020-12-30T00:00:00+00:00	15.0	<p>A unique release of The Shocking Howe. Actors and writers of the "Comfort Zone" series will tell you how the project was created. Of course, everything is in the style of the Shocking Howe.</p>	51510	https://www.tvmaze.com/shows/51510/zona-komforta	Зона комфорта	Scripted	Russian	['Comedy']	Ended	NaN	29.0	2020-10-22	2022-03-02	https://okko.tv/serial/zona-komforta	42.0	nan	nan	1.649573e+09	https://api.tvmaze.com/episodes/2015818
2	1987721	https://www.tvmaze.com/episodes/1987721/passaziry-1x03-kirill	Кирилл	1.0	3.0	regular	2020-12-30	nan	2020-12-30T00:00:00+00:00	20.0	nan	52499	https://www.tvmaze.com/shows/52499/passaziry	Пассажиры	Scripted	Russian	['Drama', 'Supernatural']	Running	22.0	23.0	2020-12-24	nan	https://start.ru/watch/passazhiry	84.0	nan	nan	1.651991e+09	https://api.tvmaze.com/episodes/1964000
3	2095630	https://www.tvmaze.com/episodes/2095630/yi-nian-yong-heng-1x23-episode-23	Episode 23	1.0	23.0	regular	2020-12-30	10:00	2020-12-30T02:00:00+00:00	19.0	nan	49652	https://www.tvmaze.com/shows/49652/yi-nian-yong-heng	Yi Nian Yong Heng	Animation	Chinese	['Comedy', 'Action', 'Anime', 'Fantasy']	Running	19.0	19.0	2020-08-12	nan	https://v.qq.com/detail/w/ww18u675tfmhas6.html	17.0	nan	<p>One will to create oceans. One will to summon the mulberry fields.<br /><br />One will to slaughter countless devils. One will to eradicate innumerable immortals.<br /><br />Only my will… is eternal.<br /><br />A Will Eternal tells the tale of Bai Xiaochun, an endearing but exasperating young man who is driven primarily by his fear of death and desire to live forever, but who deeply values friendship and family.<br /><br />(Source: Novel Updates)</p>	1.649494e+09	https://api.tvmaze.com/episodes/1995405
4	1993659	https://www.tvmaze.com/episodes/1993659/7-days-of-romance-2x04-episode-4	Episode 4	2.0	4.0	regular	2020-12-30	nan	2020-12-30T03:00:00+00:00	15.0	nan	44276	https://www.tvmaze.com/shows/44276/7-days-of-romance	7 Days of Romance	Scripted	Korean	['Drama', 'Romance']	Ended	NaN	15.0	2019-10-08	2021-01-20	nan	82.0	nan	<p>Da Eun works part-time and Kim Byul is an idol in her 5th years since debut. These two girls who look alike decide to change each other's lives just for 7 days. It tells the romantic encounters of these 2 girls.</p>	1.650034e+09	https://api.tvmaze.com/episodes/2007760
5	2096304	https://www.tvmaze.com/episodes/2096304/no-turning-back-romance-1x08-8	8	1.0	8.0	regular	2020-12-30	nan	2020-12-30T03:00:00+00:00	12.0	nan	55002	https://www.tvmaze.com/shows/55002/no-turning-back-romance	No Turning Back Romance	Scripted	Korean	[]	Ended	NaN	12.0	2020-12-08	2021-01-06	nan	20.0	nan	<p>A teen romance of So Dam, a sixteen-year-old girl, who has never dated before but she receives her first-ever love confession from a mysterious boy. She is looking for the boy who secretly confessed to her while she was asleep on her desk. The clues include a male voice, mango fruit scent and gym uniform. She must piece the puzzle to find that person among the likely candidates that include hot shots Park Ji Hoo, Jeong Han Kyul, and Joo In Hyuk.</p>	1.621617e+09	https://api.tvmaze.com/episodes/1985789
6	2324425	https://www.tvmaze.com/episodes/2324425/unique-lady-2x13-episode-13	Episode 13	2.0	13.0	regular	2020-12-30	12:00	2020-12-30T04:00:00+00:00	40.0	nan	41490	https://www.tvmaze.com/shows/41490/unique-lady	Unique Lady	Scripted	Chinese	['Drama', 'Comedy', 'Romance']	Ended	38.0	42.0	2019-01-17	2021-01-07	http://www.iqiyi.com/a_19rrhvpyyp.html	68.0	nan	<p>Lin Luo Jing accidentally gets drawn into a game world where she is the daughter of the prime minister and meets all kind of beautiful men with different personalities. Among them are a sword deity, an imperial bodyguard, a playful rich man and an arrogant prince. The system informs her that she can only return to the real world after she finds her true love. While there seems tobe an abundance of good men around Luo Jing, there is one man she can't stand at all: the prince of the barbarian Yuan Kingdom Zhong Wu Mei. But out of all men, she ends up in an arranged marriage with Wu Mei.</p><p>Thus begins their love-hate relationship and her journey to find true love in order to win the game.</p>	1.651863e+09	https://api.tvmaze.com/episodes/2039622
7	2324426	https://www.tvmaze.com/episodes/2324426/unique-lady-2x14-episode-14	Episode 14	2.0	14.0	regular	2020-12-30	12:00	2020-12-30T04:00:00+00:00	40.0	nan	41490	https://www.tvmaze.com/shows/41490/unique-lady	Unique Lady	Scripted	Chinese	['Drama', 'Comedy', 'Romance']	Ended	38.0	42.0	2019-01-17	2021-01-07	http://www.iqiyi.com/a_19rrhvpyyp.html	68.0	nan	<p>Lin Luo Jing accidentally gets drawn into a game world where she is the daughter of the prime minister and meets all kind of beautiful men with different personalities. Among them are a sword deity, an imperial bodyguard, a playful rich man and an arrogant prince. The system informs her that she can only return to the real world after she finds her true love. While there seems tobe an abundance of good men around Luo Jing, there is one man she can't stand at all: the prince of the barbarian Yuan Kingdom Zhong Wu Mei. But out of all men, she ends up in an arranged marriage with Wu Mei.</p><p>Thus begins their love-hate relationship and her journey to find true love in order to win the game.</p>	1.651863e+09	https://api.tvmaze.com/episodes/2039623
8	1998603	https://www.tvmaze.com/episodes/1998603/unique-lady-2-1x13-episode-13	Episode 13	1.0	13.0	regular	2020-12-30	nan	2020-12-30T04:00:00+00:00	45.0	nan	52784	https://www.tvmaze.com/shows/52784/unique-lady-2	Unique Lady 2	Scripted	Chinese	['Comedy', 'Fantasy', 'Romance']	Running	45.0	45.0	2020-12-24	nan	nan	17.0	nan	<p>Lin Luojing enters the XR system due to a technology competition, and time-travels to the Sheng Yuan Dynasty of the game. To return back to reality, she has to find her true love and max the "favorability points". In the midst of exchanging tactics with arrogant prince Zhong Wu Mei, her former personal guard Liu Xiu Wen returns to the capital, this time with a new identity as the Persian Prince. Liu Xiu Wen vows to wage war on Zhong Wuyan. Facing both internal and external crises and conflicts, how will Lin Luojing resolve it and embark on her journey back home?</p>	1.609652e+09	https://api.tvmaze.com/episodes/2324427
9	1998605	https://www.tvmaze.com/episodes/1998605/unique-lady-2-1x14-episode-14	Episode 14	1.0	14.0	regular	2020-12-30	nan	2020-12-30T04:00:00+00:00	45.0	nan	52784	https://www.tvmaze.com/shows/52784/unique-lady-2	Unique Lady 2	Scripted	Chinese	['Comedy', 'Fantasy', 'Romance']	Running	45.0	45.0	2020-12-24	nan	nan	17.0	nan	<p>Lin Luojing enters the XR system due to a technology competition, and time-travels to the Sheng Yuan Dynasty of the game. To return back to reality, she has to find her true love and max the "favorability points". In the midst of exchanging tactics with arrogant prince Zhong Wu Mei, her former personal guard Liu Xiu Wen returns to the capital, this time with a new identity as the Persian Prince. Liu Xiu Wen vows to wage war on Zhong Wuyan. Facing both internal and external crises and conflicts, how will Lin Luojing resolve it and embark on her journey back home?</p>	1.609652e+09	https://api.tvmaze.com/episodes/2324428

Last rows

	id	url	name	season	number	type	airdate	airtime	airstamp	runtime	summary	_embedded_show_id	_embedded_show_url	_embedded_show_name	_embedded_show_type	_embedded_show_language	_embedded_show_genres	_embedded_show_status	_embedded_show_runtime	_embedded_show_averageRuntime	_embedded_show_premiered	_embedded_show_ended	_embedded_show_officialSite	_embedded_show_weight	_embedded_show_dvdCountry	_embedded_show_summary	_embedded_show_updated	_links_self_href
101	1992763	https://www.tvmaze.com/episodes/1992763/sj-returns-4x89-episode-89	Episode 89	4.0	89.0	regular	2020-12-30	00:00	2020-12-30T15:00:00+00:00	5.0	nan	52250	https://www.tvmaze.com/shows/52250/sj-returns	SJ Returns	Reality	Korean	[]	Running	5.0	5.0	2017-10-09	nan	https://tv.naver.com/sjreturns	15.0	nan	<p>This show will follow Super Junior's everyday life.</p>	1.613088e+09	https://api.tvmaze.com/episodes/2001672
102	1977579	https://www.tvmaze.com/episodes/1977579/atop-the-fourth-wall-12x48-yet-another-15-mistakes-of-at4w	Yet Another 15 Mistakes of AT4W	12.0	48.0	regular	2020-12-30	nan	2020-12-30T17:00:00+00:00	25.0	nan	18971	https://www.tvmaze.com/shows/18971/atop-the-fourth-wall	Atop the Fourth Wall	Variety	English	[]	Running	25.0	25.0	2008-10-26	nan	http://www.atopthefourthwall.com	28.0	nan	<p><b>Atop the Fourth Wall</b> is a comic book review show, hosted by Lewis "Linkara" Lovhaug. The show specializes in reviewing really bad comic books.</p>	1.649779e+09	https://api.tvmaze.com/episodes/2001673
103	1990782	https://www.tvmaze.com/episodes/1990782/a-house-divided-3x02-we-all-got-choices	We All Got Choices	3.0	2.0	regular	2020-12-30	nan	2020-12-30T17:00:00+00:00	45.0	<p>Stephanie finds a peaceful place. Carissa has a personal security detail assigned to her; he happens to be a handsome ex navy seal by the name of Dante Radson. Nigel receives instruction from his father in Nigeria, and things begin to heat up as the danger increases for the Sanders clan. Carissa is tormented by her ugly past. Nigel decides to test Dante's expertise.</p>	42872	https://www.tvmaze.com/shows/42872/a-house-divided	A House Divided	Scripted	English	['Drama']	To Be Determined	NaN	42.0	2019-07-18	nan	https://allblk.tv/housedivided/	73.0	nan	<p><b>A House Divided</b> follows the direct descendants of Letty Sanders, an enslaved woman who after arriving in Los Angeles in 1821, grew to become the wealthiest Black woman in the newly formed city. Centering on the present-day members of the highly esteemed Sanders family, Cameran Sanders has raised his three children in opulent wealth. After the sudden passing of his wife amidst a brewing government investigation into the business dealings of the family-owned bank, a new woman emerges from the shadows determined to be the next Mrs. Cameran Sanders. As secrets are uncovered and scandals emerge, the Sanders family will be forced to band together for the sake of their survival or risk the ultimate demise of their long-standing legacy.</p>	1.650123e+09	https://api.tvmaze.com/episodes/2001674
104	2192628	https://www.tvmaze.com/episodes/2192628/diti-proti-zirok-2x14-vypusk-14-artem-pivovarov-daniel-salem-konstantin-vojtenko	Выпуск 14 (Артем Пивоваров, Даниэль Салем, Константин Войтенко)	2.0	14.0	regular	2020-12-30	19:00	2020-12-30T17:00:00+00:00	90.0	nan	44675	https://www.tvmaze.com/shows/44675/diti-proti-zirok	Діти проти зірок	Game Show	Ukrainian	['Action', 'Family']	Running	90.0	90.0	2019-09-25	nan	https://novy.tv/ua/deti-protiv-zvezd/	21.0	{'name': 'Ukraine', 'code': 'UA', 'timezone': 'Europe/Zaporozhye'}	nan	1.640953e+09	https://api.tvmaze.com/episodes/2007691
105	2135013	https://www.tvmaze.com/episodes/2135013/dimension-20-7x08-feasts-families	Feasts & Families	7.0	8.0	regular	2020-12-30	nan	2020-12-30T17:00:00+00:00	NaN	nan	56531	https://www.tvmaze.com/shows/56531/dimension-20	Dimension 20	Game Show	English	['Comedy', 'Adventure', 'Fantasy']	Running	NaN	NaN	2018-09-12	nan	https://www.dropout.tv/dimension-20	77.0	nan	<p>Heed the call of adventure and enter <b>Dimension 20</b> where Game Master Brennan Lee Mulligan, joined by comedians and pro gamers, blends comedy with tabletop RPGs.</p>	1.651253e+09	https://api.tvmaze.com/episodes/2007692
106	1977422	https://www.tvmaze.com/episodes/1977422/goede-tijden-slechte-tijden-31x71-aflevering-6326	Aflevering 6326	31.0	71.0	regular	2020-12-30	20:00	2020-12-30T19:00:00+00:00	23.0	nan	2504	https://www.tvmaze.com/shows/2504/goede-tijden-slechte-tijden	Goede Tijden, Slechte Tijden	Scripted	Dutch	['Drama', 'Romance']	Running	23.0	25.0	1990-10-01	nan	http://gtst.nl/#!/	77.0	nan	nan	1.651839e+09	https://api.tvmaze.com/episodes/2031800
107	2276408	https://www.tvmaze.com/episodes/2276408/here-we-go-s01-special-pilot	Pilot	1.0	NaN	significant_special	2020-12-30	21:45	2020-12-30T21:45:00+00:00	30.0	<p>2020 has been an absolute nightmare for the Jessop family. To boost family morale, they decide they are going to have a summer holiday after all, even if it is in Margate in October.</p>	60508	https://www.tvmaze.com/shows/60508/here-we-go	Here We Go	Scripted	English	['Comedy']	To Be Determined	NaN	29.0	2020-12-30	nan	https://www.bbc.co.uk/programmes/p0byxbkn	94.0	nan	<p><b>Here We Go</b> follows the highs and lows of the Jessop family as they navigate a combination of life's everyday challenges – changing careers, keeping the romance alive within a marriage, adopting a healthier lifestyle, kidnapping a dog, destroying a swimming pool and sabotaging a wedding.</p><p>Having filmed his family's disastrous attempt to carve out a holiday in the midst of the pandemic in the 2020 pilot episode, the series sees youngest son Sam continue to document the Jessop family across the year. Moving back and forward in time, each episode offers an intimate, observed and absurd exposé of a modern British family doing its best to support each other, if accidentally annoying everyone else in the process.</p>	1.651840e+09	https://api.tvmaze.com/episodes/2034364
108	1958869	https://www.tvmaze.com/episodes/1958869/wwe-nxt-14x53-main-event-johnny-gargano-c-vs-leon-ruff-for-the-nxt-north-american-championship	Main Event: Johnny Gargano (c) vs. Leon Ruff for the NXT North American Championship	14.0	53.0	regular	2020-12-30	20:00	2020-12-31T01:00:00+00:00	127.0	nan	2266	https://www.tvmaze.com/shows/2266/wwe-nxt	WWE NXT	Sports	English	[]	Running	120.0	75.0	2010-02-23	nan	http://www.wwe.com/inside/networkschedule	88.0	nan	<p>Each Wednesday at 8:00 p.m. ET, WWE Superstars and Divas of tomorrow face off on <b>WWE NXT</b><i>,</i> a one-hour weekly show that features the brightest and best of WWE's rising stars. WWE NXT showcases the Superstars and Divas from WWE's Performance Center as well as appearances from WWE Superstars and Legends in an intimate setting. WWE NXT broadcasts from the state-of-the-art Full Sail LIVE venue on the Full Sail University in campus in Orlando, Florida.</p>	1.651646e+09	https://api.tvmaze.com/episodes/2035877
109	2041985	https://www.tvmaze.com/episodes/2041985/submission-underground-2020-12-30-submission-underground-20-bader-vs-fowler	Submission Underground 20: Bader vs. Fowler	2020.0	10.0	regular	2020-12-30	20:00	2020-12-31T01:00:00+00:00	120.0	nan	50162	https://www.tvmaze.com/shows/50162/submission-underground	Submission Underground	Sports	English	[]	Running	120.0	120.0	2016-07-17	nan	https://www.tapology.com/fightcenter/promotions/2861-submission-underground-sug	17.0	nan	<p>Submission Underground is a grappling event presented by Chael Sonnen and UFC Fight Pass!</p>	1.614931e+09	https://api.tvmaze.com/episodes/2035880
110	1985214	https://www.tvmaze.com/episodes/1985214/noblesse-1x13-noblesse-take-her-hand	Noblesse / Take Her Hand	1.0	13.0	regular	2020-12-30	00:00	2020-12-31T05:00:00+00:00	25.0	<p>Raizel appears in front of Raskreia and the Clan Leaders to prevent Gejutel's sentence from being carried out and put things in order. The Clan Leaders are overwhelmed by his incredible power. The real reason why the Previous Lord died is finally revealed. The battle between Lord and Noblesse begins!</p>	49732	https://www.tvmaze.com/shows/49732/noblesse	Noblesse	Animation	Japanese	['Anime', 'Supernatural']	Ended	25.0	25.0	2015-12-04	2020-12-30	https://noblesse-anime.com/	44.0	nan	<p>Raizel awakens from his 820-year slumber. He holds the special title of Noblesse, a pure-blooded Noble and protector of all other Nobles. In an attempt to protect Raizel, his servant Frankenstein enrolls him at Ye Ran High School, where Raizel learns the simple and quotidian routines of the human world through his classmates. However, the Union, a secret society plotting to take over the world, dispatches modified humans and gradually encroaches on Raizel's life, causing him to wield his mighty power to protect those around him... After 820 years of intrigue, the secrets behind his slumber are finally revealed, and Raizel's absolute protection as the Noblesse begins!</p>	1.648717e+09	https://api.tvmaze.com/episodes/2094668

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Other Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Other Punctuation

Space Separator

Dash Punctuation

Math Symbol

Close Punctuation

Open Punctuation

Most occurring scripts

Most frequent character per script

Latin

Cyrillic

Common

Most occurring blocks

Most frequent character per block

ASCII

Cyrillic

None

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Connector Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Lowercase Letter

Other Punctuation